Data

Tools

Indexes

Applications

Experiments

Summary

An open API service for producing an overview of a list of open source projects.

https://github.com/google-research/google-research

ai machine-learning research

Score: 33.482827694890325

Last synced: 1 day ago
JSON representation

Repository metadata:

Google Research

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: 2 days ago

Total Commits: 5,166
Total Committers: 883
Avg Commits per committer: 5.851
Development Distribution Score (DDS): 0.955

Commits in past year: 305
Committers in past year: 72
Avg Commits per committer in past year: 4.236
Development Distribution Score (DDS) in past year: 0.836

Name Email Commits
Joel Shor j****r@g****m 232
Google Research Team n****y@g****m 181
Oleg Rybakov r****v@g****m 173
Viresh Ratnakar v****r@g****m 95
Yilei Yang y****g@g****m 87
Rohan Anil r****l@g****m 85
Peter Hawkins p****s@g****m 75
Alexander Gutkin a****n@g****m 72
Jake VanderPlas v****s@g****m 70
Kensen Shi k****i@g****m 57
Ting Liu l****i@g****m 56
Zahra Shamsi s****z@g****m 51
Jon Barron b****n@g****m 47
Philip Sun s****l@g****m 46
Petros Maniatis m****s@g****m 44
Pablo Pino p****o@g****m 44
Xingyou Song x****g@g****m 43
Yanhua Sun y****n@g****m 41
Yannis Chronis c****s@g****m 40
Carlos Esteves m****c@g****m 39
Sekou L. Remy s****y@g****m 38
Andrew Chen c****w@g****m 37
Shivani Agrawal s****l@g****m 37
Olivier Teboul o****t@g****m 36
Li Li l****y@g****m 34
Rebecca Chen r****n@g****m 34
Parker Riley p****y@g****m 33
Sholto Douglas s****o@g****m 33
Marc van Zee m****e@g****m 32
Debidatta Dwibedi d****a@g****m 30
and 853 more...

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 657
Total pull requests: 803
Average time to close issues: 4 months
Average time to close pull requests: 4 months
Total issue authors: 374
Total pull request authors: 85
Average comments per issue: 1.02
Average comments per pull request: 0.32
Merged pull request: 2
Bot issues: 3
Bot pull requests: 623

Past year issues: 27
Past year pull requests: 42
Past year average time to close issues: 21 days
Past year average time to close pull requests: 5 days
Past year issue authors: 23
Past year pull request authors: 11
Past year average comments per issue: 0.33
Past year average comments per pull request: 0.5
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 9

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/google-research/google-research

Top Issue Authors

  • DailyInvestors (98)
  • mhyarjan7 (83)
  • mhomadrsa (47)
  • hxjl261458 (6)
  • sanmao11198 (6)
  • k757657 (4)
  • yeboitic-guy-01 (4)
  • DavidMontreal1 (4)
  • changbin0828 (3)
  • Hackingexposer (3)
  • samhodge-aiml (3)
  • siddhsql (3)
  • sumanttyagi (3)
  • Dharmendra04 (2)
  • anupsingh15 (2)

Top Pull Request Authors

  • dependabot[bot] (623)
  • RANJITHROSAN17 (15)
  • kevin-ssy (11)
  • sylvesterkaczmarek (8)
  • SmartManoj (6)
  • corona10 (4)
  • Nish2403 (4)
  • swoonge (4)
  • lukins-cz (4)
  • pitukg (4)
  • bravandi (4)
  • JulyMoon87 (4)
  • amirhk (3)
  • EnouenJ (3)
  • 1blue-sky (2)

Top Issue Labels

  • dependencies (2)
  • allstar (1)

Top Pull Request Labels

  • dependencies (623)
  • python (77)
  • cla: yes (3)
  • cla: no (2)
  • rust (2)

Package metadata

nixpkgs-24.05: python311Packages.rouge-score

Python ROUGE Implementation

nixpkgs-24.11: python311Packages.rouge-score

Python ROUGE Implementation

nixpkgs-unstable: python313Packages.rouge-score

Python ROUGE Implementation

pypi.org: rouge-score

Pure python implementation of ROUGE-1.5.5.

  • Homepage: https://github.com/google-research/google-research/tree/master/rouge
  • Documentation: https://rouge-score.readthedocs.io/
  • Licenses: Apache Software License
  • Latest release: 0.1.2 (published over 4 years ago)
  • Last Synced: 2026-11-01T17:41:19.739Z (1 day ago)
  • Versions: 9
  • Dependent Packages: 116
  • Dependent Repositories: 2,006
  • Downloads: 9,063,958 Last month
  • Docker Downloads: 438,240
  • Rankings:
    • Forks count: 0.057%
    • Stargazers count: 0.062%
    • Dependent repos count: 0.249%
    • Dependent packages count: 0.271%
    • Average: 0.349%
    • Downloads: 0.474%
    • Docker downloads count: 0.981%
  • Maintainers (3)
pypi.org: scann

Scalable Nearest Neighbor search library

  • Homepage: https://github.com/google-research/google-research/tree/master/scann
  • Documentation: https://scann.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 1.4.2 (published about 1 year ago)
  • Last Synced: 2026-10-31T17:05:20.227Z (2 days ago)
  • Versions: 22
  • Dependent Packages: 7
  • Dependent Repositories: 163
  • Downloads: 57,238 Last month
  • Docker Downloads: 715
  • Rankings:
    • Forks count: 0.057%
    • Stargazers count: 0.062%
    • Downloads: 0.83%
    • Average: 0.9%
    • Dependent repos count: 1.195%
    • Dependent packages count: 1.254%
    • Docker downloads count: 2.001%
  • Maintainers (2)
pypi.org: optax-shampoo

Distributed Shampoo (Second order Optimizer for Deep Learning) Optax Optimizer

  • Homepage: https://github.com/google-research/google-research/tree/master/scalable_shampoo
  • Documentation: https://optax-shampoo.readthedocs.io/
  • Licenses: Apache Software License
  • Latest release: 0.0.6 (published about 4 years ago)
  • Last Synced: 2026-10-31T17:04:56.893Z (2 days ago)
  • Versions: 4
  • Dependent Packages: 1
  • Dependent Repositories: 4
  • Downloads: 31,028 Last month
  • Rankings:
    • Forks count: 0.058%
    • Stargazers count: 0.063%
    • Downloads: 2.062%
    • Average: 2.891%
    • Dependent packages count: 4.786%
    • Dependent repos count: 7.486%
  • Maintainers (1)
pypi.org: smart-eval

Official implementation of SMART evaluation metric

  • Homepage: https://github.com/google-research/google-research/tree/master/smart_eval
  • Documentation: https://smart-eval.readthedocs.io/
  • Licenses: Apache Software License
  • Latest release: 0.1.0 (published over 3 years ago)
  • Last Synced: 2026-10-31T17:05:32.917Z (2 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 2 Last month
  • Rankings:
    • Forks count: 0.059%
    • Stargazers count: 0.068%
    • Dependent packages count: 7.072%
    • Average: 9.386%
    • Dependent repos count: 30.347%
  • Maintainers (1)
pypi.org: 0xibra-scann

Scalable Nearest Neighbor search library

  • Homepage: https://github.com/google-research/google-research/tree/master/scann
  • Documentation: https://0xibra-scann.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 1.3.2 (published over 2 years ago)
  • Last Synced: 2026-10-31T17:05:00.863Z (2 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 26 Last month
  • Rankings:
    • Dependent packages count: 10.695%
    • Average: 35.463%
    • Dependent repos count: 60.232%
  • Maintainers (1)
pypi.org: sparse-deferred

Linear algebra library for sparse and deferred operations.

  • Homepage: https://github.com/google-research/google-research/tree/master/sparse_deferred
  • Documentation: https://sparse-deferred.readthedocs.io/
  • Licenses: apache-2.0
  • Latest release: 1.0.0 (published 11 months ago)
  • Last Synced: 2026-10-31T17:04:56.894Z (2 days ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 470 Last month
  • Rankings:
    • Dependent packages count: 9.463%
    • Average: 35.947%
    • Dependent repos count: 62.431%
  • Maintainers (3)
anaconda.org: rouge-score

A naive python implementation of the original perl package, ROUGE from Google-Research. This is a native python implementation of ROUGE, designed to replicate results from the original perl package. Maintainers may be contacted at [rouge-opensource@google.com](mailto:rouge-opensource@google.com). ROUGE was originally introduced in the paper: Lin, Chin-Yew. ROUGE: a Package for Automatic Evaluation of Summaries. In Proceedings of the Workshop on Text Summarization Branches Out (WAS 2004), Barcelona, Spain, July 25 - 26, 2004. There are ROUGE implementations available for Python, however some are not native python due to their dependency on the perl script, and others provide differing results when compared with the original implementation. This makes it difficult to directly compare with known results. This package is designed to replicate perl results. It implements: - ROUGE-N (N-gram) scoring - ROUGE-L (Longest Common Subsequence) scoring - Text normalization - Bootstrap resampling for confidence interval calculation - Optional Porter stemming to remove plurals and word suffixes such as (ing, ion, ment). Note that not all options provided by the original perl ROUGE script are supported, but the subset of options that are implemented should replicate the original functionality. PyPI: [https://pypi.org/project/rouge-score/](https://pypi.org/project/rouge-score/)

  • Homepage: https://github.com/google-research/google-research/tree/master/rouge
  • Licenses: Apache-2.0
  • Latest release: 0.1.2 (published 4 months ago)
  • Last Synced: 2026-10-26T14:27:54.166Z (7 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 34.675%
    • Average: 36.242%
    • Dependent repos count: 37.809%
pypi.org: google-fax

FAX is an implementation of federated operations using Jax primitives.

  • Homepage:
  • Documentation: https://google-fax.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.0.2 (published over 2 years ago)
  • Last Synced: 2026-10-31T17:04:59.834Z (2 days ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 11 Last month
  • Rankings:
    • Dependent packages count: 9.779%
    • Average: 37.15%
    • Dependent repos count: 64.52%
  • Maintainers (1)
nixpkgs-23.05: python311Packages.rouge-score

Python ROUGE Implementation

nixpkgs-24.11: python312Packages.rouge-score

Python ROUGE Implementation

nixpkgs-unstable: python314Packages.rouge-score

Python ROUGE Implementation

nixpkgs-24.05: python312Packages.rouge-score

Python ROUGE Implementation

nixpkgs-23.05: python310Packages.rouge-score

Python ROUGE Implementation

nixpkgs-23.11: python310Packages.rouge-score

Python ROUGE Implementation

nixpkgs-23.11: python311Packages.rouge-score

Python ROUGE Implementation

Dependencies

scann/MODULE.bazel bazel
  • abseil-cpp 20250127.1
  • eigen 4.0.0-20241125.bcr.2
  • googletest 1.17.0
  • highway 1.3.0
  • platforms 1.0.0
  • protobuf 28.3
  • pybind11_bazel 2.13.6
  • rules_cc 0.1.4
  • rules_python 1.5.1
  • zlib 1.3.1.bcr.6
brush_splat/Cargo.lock cargo
  • 591 dependencies
brush_splat/Cargo.toml cargo
brush_splat/crates/brush-android/Cargo.lock cargo
  • 331 dependencies
brush_splat/crates/brush-android/Cargo.toml cargo
brush_splat/crates/brush-dataset/Cargo.toml cargo
brush_splat/crates/brush-desktop/Cargo.toml cargo
brush_splat/crates/brush-kernel/Cargo.toml cargo
brush_splat/crates/brush-prefix-sum/Cargo.toml cargo
brush_splat/crates/brush-render/Cargo.toml cargo
  • divan 0.1.14 development
  • brush-kernel 0.1.0
  • brush-prefix-sum 0.1.0
  • brush-sort 0.1.0
brush_splat/crates/brush-sort/Cargo.lock cargo
brush_splat/crates/brush-sort/Cargo.toml cargo
brush_splat/crates/brush-train/Cargo.toml cargo
brush_splat/crates/brush-viewer/Cargo.toml cargo
brush_splat/crates/brush-wgsl/Cargo.toml cargo
brush_splat/crates/rrfd/Cargo.toml cargo
brush_splat/crates/sync-span/Cargo.toml cargo
mucped22/scripts/elo/Cargo.lock cargo
  • cfg-if 1.0.0
  • getrandom 0.2.4
  • itoa 1.0.1
  • libc 0.2.116
  • ppv-lite86 0.2.16
  • proc-macro2 1.0.36
  • quote 1.0.15
  • rand 0.8.4
  • rand_chacha 0.3.1
  • rand_core 0.6.3
  • rand_hc 0.3.1
  • ryu 1.0.9
  • serde 1.0.136
  • serde_derive 1.0.136
  • serde_json 1.0.78
  • syn 1.0.86
  • unicode-xid 0.2.2
  • wasi 0.10.2+wasi-snapshot-preview1
mucped22/scripts/elo/Cargo.toml cargo
COSTAR/environment.yml conda
  • _libgcc_mutex 0.1
  • _openmp_mutex 4.5
  • argon2-cffi 21.3.0
  • argon2-cffi-bindings 21.2.0
  • asttokens 2.2.1
  • attrs 23.1.0
  • backcall 0.2.0
  • backports 1.0
  • backports.functools_lru_cache 1.6.4
  • beautifulsoup4 4.12.2
  • blas 1.0
  • bleach 6.0.0
  • bottleneck 1.3.7
  • brotli 1.0.9
  • brotli-bin 1.0.9
  • brotlipy 0.7.0
  • bzip2 1.0.8
  • c-ares 1.19.1
  • ca-certificates 2023.7.22
  • cached-property 1.5.2
  • cached_property 1.5.2
  • captum 0.6.0
  • certifi 2023.7.22
  • cffi 1.15.1
  • charset-normalizer 2.0.4
  • cryptography 39.0.1
  • cudatoolkit 11.3.1
  • cycler 0.11.0
  • dbus 1.13.18
  • debugpy 1.5.1
  • decorator 5.1.1
  • defusedxml 0.7.1
  • einops 0.6.1
  • entrypoints 0.4
  • executing 1.2.0
  • expat 2.5.0
  • ffmpeg 4.3
  • flit-core 3.9.0
  • fontconfig 2.14.1
  • freetype 2.12.1
  • giflib 5.2.1
  • glib 2.69.1
  • gmp 6.2.1
  • gnutls 3.6.15
  • gst-plugins-base 1.14.1
  • gstreamer 1.14.1
  • hdf5 1.12.1
  • icu 58.2
  • idna 3.4
  • importlib-metadata 6.6.0
  • importlib_resources 5.12.0
  • intel-openmp 2023.1.0
  • ipykernel 6.15.0
  • ipython 8.13.2
  • ipython_genutils 0.2.0
  • ipywidgets 8.0.6
  • jedi 0.18.2
  • jinja2 3.1.2
  • jpeg 9e
  • jsonschema 4.17.3
  • jupyter 1.0.0
  • jupyter_client 7.0.6
  • jupyter_console 6.6.3
  • jupyter_core 4.12.0
  • jupyterlab_pygments 0.2.2
  • jupyterlab_widgets 3.0.7
  • keyutils 1.6.1
  • kiwisolver 1.4.4
  • krb5 1.19.3
  • lame 3.100
  • lcms2 2.12
  • ld_impl_linux-64 2.40
  • lerc 3.0
  • libbrotlicommon 1.0.9
  • libbrotlidec 1.0.9
  • libbrotlienc 1.0.9
  • libclang 10.0.1
  • libcurl 7.87.0
  • libdeflate 1.8
  • libedit 3.1.20191231
  • libev 4.33
  • libevent 2.1.12
  • libexpat 2.5.0
  • libffi 3.4.2
  • libgcc-ng 12.2.0
  • libgfortran-ng 12.2.0
  • libgfortran5 12.2.0
  • libgomp 12.2.0
  • libiconv 1.16
  • libidn2 2.3.4
  • libllvm10 10.0.1
  • libnghttp2 1.46.0
  • libnsl 2.0.0
  • libpng 1.6.39
  • libpq 12.9
  • libsodium 1.0.18
  • libssh2 1.10.0
  • libstdcxx-ng 11.2.0
  • libtasn1 4.19.0
  • libtiff 4.4.0
  • libunistring 0.9.10
  • libuuid 2.38.1
  • libwebp 1.2.4
  • libwebp-base 1.2.4
  • libxcb 1.15
  • libxkbcommon 1.0.1
  • libxml2 2.9.14
  • libxslt 1.1.35
  • lz4-c 1.9.4
  • markupsafe 2.1.2
  • matplotlib-base 3.7.1
  • matplotlib-inline 0.1.6
  • mistune 2.0.5
  • mkl 2023.1.0
  • mkl-service 2.4.0
  • mkl_fft 1.3.6
  • mkl_random 1.2.2
  • munkres 1.1.4
  • nbclient 0.8.0
  • nbconvert 7.4.0
  • nbconvert-core 7.4.0
  • nbconvert-pandoc 7.4.0
  • nbformat 5.8.0
  • ncurses 6.3
  • nest-asyncio 1.5.6
  • nettle 3.7.3
  • notebook 6.3.0
  • nspr 4.33
  • nss 3.74
  • numexpr 2.8.4
  • numpy 1.24.3
  • numpy-base 1.24.3
  • openh264 2.1.1
  • openssl 1.1.1v
  • packaging 23.1
  • pandoc 2.19.2
  • pandocfilters 1.5.0
  • parso 0.8.3
  • pcre 8.45
  • pexpect 4.8.0
  • pickleshare 0.7.5
  • pillow 9.4.0
  • pip 23.1.2
  • pkgutil-resolve-name 1.3.10
  • ply 3.11
  • prometheus_client 0.17.0
  • prompt-toolkit 3.0.38
  • prompt_toolkit 3.0.38
  • psutil 5.9.5
  • pthread-stubs 0.4
  • ptyprocess 0.7.0
  • pure_eval 0.2.2
  • pycparser 2.21
  • pygments 2.15.1
  • pyopenssl 23.0.0
  • pyparsing 3.0.9
  • pyqt 5.15.7
  • pyqt5-sip 12.11.0
  • pyrsistent 0.19.3
  • pysocks 1.7.1
  • python 3.9.15
  • python-dateutil 2.8.2
  • python-fastjsonschema 2.17.1
  • python_abi 3.9
  • pytorch 1.12.1
  • pytorch-mutex 1.0
  • pyzmq 19.0.2
  • qt-main 5.15.2
  • qt-webengine 5.15.9
  • qtconsole 5.4.3
  • qtconsole-base 5.4.3
  • qtpy 2.3.1
  • qtwebkit 5.212
  • readline 8.2
  • requests 2.29.0
  • send2trash 1.8.2
  • setuptools 67.7.2
  • sip 6.6.2
  • six 1.16.0
  • soupsieve 2.3.2.post1
  • sqlite 3.40.1
  • stack_data 0.6.2
  • tbb 2021.8.0
  • terminado 0.17.1
  • tinycss2 1.2.1
  • tk 8.6.12
  • toml 0.10.2
  • torchaudio 0.12.1
  • torchvision 0.13.1
  • tornado 6.3.2
  • traitlets 5.9.0
  • typing_extensions 4.5.0
  • urllib3 1.26.15
  • wcwidth 0.2.6
  • webencodings 0.5.1
  • wheel 0.40.0
  • widgetsnbextension 4.0.7
  • xorg-libxau 1.0.11
  • xorg-libxdmcp 1.1.3
  • xz 5.2.6
  • zeromq 4.3.4
  • zipp 3.15.0
  • zlib 1.2.13
  • zstd 1.5.2
conceptor/environment.yaml conda
  • cudatoolkit 11.3
  • numpy 1.23.5
  • pip 20.3
  • python 3.8.5
  • pytorch 1.13.1
  • torchvision 0.14.1
dpok/environment.yaml conda
  • cudatoolkit 11.3
  • numpy 1.21
  • pip 20.3
  • python 3.7
  • pytorch 1.12.1
  • torchvision 0.13.1
ev3/environment.yaml conda
  • numpy 1.23.1
  • pip 22.2.2
  • python 3.9
layout-blt/environment.yml conda
  • _libgcc_mutex 0.1
  • _openmp_mutex 4.5
  • ca-certificates 2021.9.30
  • certifi 2021.5.30
  • ld_impl_linux-64 2.35.1
  • libffi 3.3
  • libgcc-ng 9.3.0
  • libgomp 9.3.0
  • libstdcxx-ng 9.3.0
  • ncurses 6.2
  • openssl 1.1.1l
  • pip 21.0.1
  • python 3.7.11
  • readline 8.1
  • setuptools 58.0.4
  • sqlite 3.36.0
  • tk 8.6.11
  • wheel 0.37.0
  • xz 5.2.5
  • zlib 1.2.11
nerflets/environment.yaml conda
  • cudatoolkit 11.3
  • pip
  • python 3.8
  • pytorch 1.10
  • torchvision
pair_ngram/environment.yml conda
  • baumwelch 0.3.11
  • ngram 1.3.17
  • numpy 1.25.2
  • openfst 1.8.4
  • pynini 2.1.7
  • python 3.11.5
persistent-nature/environment.yml conda
  • click
  • cudatoolkit 11.3
  • cudnn
  • ipdb
  • ipython
  • jupyter
  • jupyterlab
  • matplotlib
  • ninja
  • numpy
  • pillow
  • pip
  • python 3.8
  • tqdm
rce/environment.yml conda
  • absl-py 0.13.0
  • numpy 1.19.2
  • pip 21.1.3
  • pyparsing 2.4.7
  • python 3.6
social_rl/self_tuning_follower/environment.yml conda
  • cudatoolkit 11.0
  • jupyterlab
  • pip
  • python 3.8
  • pytorch 1.7.1
  • torchaudio 0.7.2
  • torchvision 0.8.2
activation_clustering/Dockerfile docker
  • python 3.6 build
dreamfields/Dockerfile docker
  • nvcr.io/nvidia/tensorflow 21.12-tf2-py3 build
dreamfields/experiments/Dockerfile docker
  • nvcr.io/nvidia/pytorch 22.04-py3 build
learning_to_clarify/Dockerfile docker
  • nvcr.io/nvidia/pytorch 24.02-py3 build
llm_longdoc_interpretability/Dockerfile docker
  • ubuntu latest build
scann/tf_serving/Dockerfile docker
  • ${TF_SERVING_BUILD_IMAGE} latest build
  • ubuntu 20.04 build
sgk/Dockerfile docker
  • nvidia/cuda 10.1-cudnn7-devel-ubuntu18.04 build
restarting_FOM_for_LP/Manifest.toml julia
restarting_FOM_for_LP/Project.toml julia
  • CSV *
  • DataFrames *
  • FirstOrderLp *
  • LaTeXStrings *
  • Latexify *
  • LinearAlgebra *
  • Plots *
  • Printf *
  • ProtoBuf *
  • StructTypes *
fvlm/requirements.txt pypi
  • Pillow ==9.5.0
  • clu >=0.0.9
  • flax >=0.6.4
  • gin-config >=0.5.0
  • jax >=0.4.4
  • jaxlib >=0.4.4
  • numpy >=1.16.4
  • opencv-python >=4.7.0.72
  • pycocotools >=2.0.6
  • tensorflow >=2.14.0
  • tensorflow-datasets >=4.9.2
  • tensorflow_text >=2.14.0
  • torch >=2.0.0
  • torchvision >=0.15.1
  • tqdm >=4.65.0
fvlm/setup.py pypi
fwl/requirements.txt pypi
  • flax >=0.6.2
  • jax >=0.3.25
  • tensorflow >=2.6.0
restarting_FOM_for_LP/formatter/Manifest.toml julia
restarting_FOM_for_LP/formatter/Project.toml julia
  • JuliaFormatter *
brush_splat/crates/brush-android/build.gradle maven
dual_pixels/app/build.gradle maven
  • androidx.appcompat:appcompat 1.0.2 implementation
  • androidx.constraintlayout:constraintlayout 1.1.3 implementation
  • junit:junit 4.12 testImplementation
dual_pixels/build.gradle maven
Algorithms_and_Hardness_for_Learning_Linear_Thresholds_from_Label_Proportions/requirements.txt pypi
  • cvxopt =1.2.6=pypi_0
  • cvxpy =1.1.13=py39hf3d152e_0
  • cvxpy-base =1.1.13=py39hde0f152_0
  • numpy =1.21.1=py39hdbf815f_0
  • pandas =1.3.1=py39h8c16a72_0
  • python =3.9.6=h49503c6_1_cpython
  • scipy =1.7.0=py39hee8e79c_1
  • scs =2.1.4=py39h3c5bb4f_0
CoDi/requirements.txt pypi
  • Jinja2 ==3.1.2
  • MarkupSafe ==2.1.3
  • Pillow ==10.1.0
  • PyYAML ==6.0.1
  • Pygments ==2.17.2
  • absl-py ==2.0.0
  • aiohttp ==3.9.1
  • aiosignal ==1.3.1
  • async-timeout ==4.0.3
  • attrs ==23.1.0
  • cached-property ==1.5.2
  • certifi ==2023.11.17
  • charset-normalizer ==3.3.2
  • chex ==0.1.7
  • datasets ==2.15.0
  • diffusers ==0.24.0
  • dill ==0.3.7
  • dm-tree ==0.1.8
  • etils ==1.3.0
  • filelock ==3.13.1
  • flax ==0.7.2
  • frozenlist ==1.4.0
  • fsspec ==2023.10.0
  • huggingface-hub ==0.19.4
  • idna ==3.6
  • importlib-metadata ==7.0.0
  • importlib-resources ==6.1.1
  • jax ==0.4.13
  • jaxlib ==0.4.13
  • markdown-it-py ==3.0.0
  • mdurl ==0.1.2
  • ml-dtypes ==0.2.0
  • mpmath ==1.3.0
  • msgpack ==1.0.7
  • multidict ==6.0.4
  • multiprocess ==0.70.15
  • nest-asyncio ==1.5.8
  • networkx ==3.1
  • numpy ==1.24.4
  • nvidia-cublas-cu12 ==12.1.3.1
  • nvidia-cuda-cupti-cu12 ==12.1.105
  • nvidia-cuda-nvrtc-cu12 ==12.1.105
  • nvidia-cuda-runtime-cu12 ==12.1.105
  • nvidia-cudnn-cu12 ==8.9.2.26
  • nvidia-cufft-cu12 ==11.0.2.54
  • nvidia-curand-cu12 ==10.3.2.106
  • nvidia-cusolver-cu12 ==11.4.5.107
  • nvidia-cusparse-cu12 ==12.1.0.106
  • nvidia-nccl-cu12 ==2.18.1
  • nvidia-nvjitlink-cu12 ==12.3.101
  • nvidia-nvtx-cu12 ==12.1.105
  • opt-einsum ==3.3.0
  • optax ==0.1.7
  • orbax-checkpoint ==0.2.3
  • packaging ==23.2
  • pandas ==2.0.3
  • pyarrow ==14.0.1
  • pyarrow-hotfix ==0.6
  • python-dateutil ==2.8.2
  • pytz ==2023.3.post1
  • regex ==2023.10.3
  • requests ==2.31.0
  • rich ==13.7.0
  • safetensors ==0.4.1
  • scipy ==1.10.1
  • six ==1.16.0
  • sympy ==1.12
  • tensorstore ==0.1.45
  • tokenizers ==0.15.0
  • toolz ==0.12.0
  • torch ==2.1.1
  • torchvision ==0.16.1
  • tqdm ==4.66.1
  • transformers ==4.36.0
  • triton ==2.1.0
  • typing_extensions ==4.9.0
  • tzdata ==2023.3
  • urllib3 ==2.1.0
  • xxhash ==3.4.1
  • yarl ==1.9.4
  • zipp ==3.17.0
EgoSocial/requirements.txt pypi
  • accelerate ==1.3.0
  • backoff ==2.2.1
  • flash_attn ==2.7.4.post1
  • peft ==0.13.2
  • pillow ==11.1.0
  • scipy ==1.15.2
  • soundfile ==0.13.1
  • torch ==2.6.0
  • torchvision ==0.21.0
  • transformers ==4.48.2
KNF/requirements.txt pypi
  • absl-py ==1.2.0
  • conda ==23.1.0
  • cudatoolkit ==12.0
  • numpy ==1.23.5
  • pip ==22.3.1
  • python ==3.10.8
  • pytorch ==1.13.1
LLP_Bench/requirements.txt pypi
  • absl-py ==1.4.0
  • cvxopt ==1.2.6
  • cvxpy ==1.1.15
  • numpy ==1.19.5
  • pandas ==1.2.4
  • pyarrow ==5.0.0
  • scikit-learn ==0.24.2
  • scipy ==1.6.3
  • tensorflow ==2.6.0
  • tensorflow-probability ==0.21.0
On_Combining_Bags_to_Better_Learn_from_Label_Proportions/Code/requirements.txt pypi
  • cvxopt ==1.2.6
  • numpy ==1.19.5
  • pandas ==1.2.4
  • scikit-learn ==0.24.2
  • scipy ==1.6.3
  • tensorflow ==2.5.0rc1
On_Combining_Bags_to_Better_Learn_from_Label_Proportions/Large_dataset/requirements.txt pypi
  • cvxopt ==1.2.6
  • cvxpy ==1.1.15
  • numpy ==1.19.5
  • pandas ==1.2.4
  • pyarrow ==5.0.0
  • scikit-learn ==0.24.2
  • scipy ==1.6.3
  • tensorflow ==2.6.0
On_Combining_Bags_to_Better_Learn_from_Label_Proportions/Large_dataset_2/requirements.txt pypi
  • cvxopt ==1.2.6
  • cvxpy ==1.1.15
  • numpy ==1.19.5
  • pandas ==1.2.4
  • pyarrow ==5.0.0
  • scikit-learn ==0.24.2
  • scipy ==1.6.3
  • tensorflow ==2.6.0
OpenMSD/requirements.txt pypi
  • apache-beam ==2.48.0
  • argparse ==1.4.0
  • pycld3 ==0.22
RevThink/requirements.txt pypi
  • accelerate ==0.34.0
  • backoff ==2.2.1
  • bitsandbytes ==0.43.1
  • datasets ==3.0.0
  • google-cloud-aiplatform ==1.49.0
  • latex2sympy2 ==1.9.1
  • matplotlib ==3.9.0
  • numpy ==1.26.4
  • openai ==1.48.0
  • pandas ==2.2.3
  • peft ==0.11.1
  • protobuf ==3.20.0
  • ratelimit ==2.2.1
  • scikit-learn ==1.5.1
  • scipy ==1.14.1
  • seaborn ==0.13.2
  • sentencepiece ==0.1.99
  • tiktoken ==0.7.0
  • tqdm ==4.66.5
  • transformers ==4.45.1
  • vllm ==0.5.3
STraTA/requirements.txt pypi
  • accelerate *
  • datasets >=1.8.0
  • protobuf *
  • scikit-learn *
  • scipy *
  • sentencepiece *
  • torch >=1.3
TimesX/dataset_agent/pyproject.toml pypi
  • beautifulsoup4 >=4.14.0
  • crawl4ai >=0.6.3
  • google-genai >=1.68.0
  • numpy >=2.0.0
  • pandas >=2.0.0
  • playwright >=1.58.0
  • pydantic >=2.0.0
  • python-dotenv >=1.2.0
  • pytrends >=4.9.2
  • pyyaml >=6.0
  • requests >=2.32.0
  • trafilatura >=1.12
TimesX/dataset_agent/requirements.txt pypi
  • PyYAML >=6.0
  • beautifulsoup4 >=4.14.0
  • crawl4ai >=0.6.3
  • google-genai >=1.68.0
  • numpy >=2.0.0
  • pandas >=2.0.0
  • playwright >=1.58.0
  • pydantic >=2.0.0
  • python-dotenv >=1.2.0
  • pytrends >=4.9.2
  • requests >=2.32.0
  • trafilatura >=1.12
Uboreshaji_Modeli/requirements.txt pypi
  • Pillow >=9.5.0
  • absl-py >=1.4.0
  • accelerate >=0.21.0
  • datasets >=2.14.0
  • etils >=1.5.0
  • matplotlib >=3.7.0
  • ml-collections >=0.1.1
  • numpy >=1.24.0
  • pycocotools >=2.0.7
  • pytest >=7.0.0
  • safetensors >=0.4.0
  • scipy >=1.10.0
  • tensorboardX >=2.6
  • torch >=2.0.0
  • torchmetrics >=1.9.0
  • torchvision >=0.15.0
  • transformers >=4.36.2,<5.0.0
aav/model_and_dataset_analysis/requirements.txt pypi
  • jupyter ==1.0.0
  • matplotlib ==2.2.3
  • numpy ==1.16.5
  • pandas ==0.24.2
  • python-levenshtein =0.12.0
  • scikit-learn ==0.20.3
  • scipy ==1.2.1
  • seaborn ==0.9.0
abps/requirements.txt pypi
  • Keras-Applications ==1.0.8
  • Keras-Preprocessing ==1.1.0
  • Markdown >=3.1.1
  • Werkzeug >=0.16.0
  • absl-py >=0.8.1
  • astor >=0.8.1
  • atari-py ==0.2.6
  • cachetools >=3.1.1
  • certifi >=2019.11.28
  • chardet >=3.0.4
  • cloudpickle >=1.2.2
  • decorator >=4.4.1
  • future >=0.18.2
  • gast >=0.2.2
  • gin-config >=0.1.3
  • google-auth >=1.8.2
  • google-auth-oauthlib >=0.4.1
  • google-pasta >=0.1.8
  • grpcio >=1.25.0
  • gym ==0.15.4
  • h5py >=2.10.0
  • idna >=2.8
  • numpy >=1.17.4
  • oauthlib >=3.1.0
  • opencv-python >=4.1.2.30
  • opt-einsum ==3.1.0
  • protobuf ==3.11.1
  • pyasn1 >=0.4.8
  • pyasn1-modules >=0.2.7
  • pyglet >=1.3.2
  • requests >=2.22.0
  • requests-oauthlib >=1.3.0
  • rsa >=4.0
  • scipy >=1.3.3
  • six >=1.13.0
  • tb-nightly ==2.1.0a20191206
  • tensorboard ==1.14.0
  • tensorflow-estimator ==1.14.0
  • tensorflow-estimator-2.0-preview ==2.0.0
  • termcolor >=1.1.0
  • tf-agents-nightly ==0.2.0.dev20191214
  • tf-nightly-2.0-preview ==2.0.0.dev20191002
  • tfp-nightly ==0.9.0.dev20191214
  • typeguard >=2.7.0
  • urllib3 >=1.25.7
  • wrapt >=1.11.2
abstract_nas/requirements.txt pypi
  • absl-py ==1.0.0
  • clu ==0.0.7
  • flax ==0.5.0
  • jax ==0.3.13
  • jaxlib ==0.3.10
  • tensorflow ==2.9.1
  • tensorflow-addons ==0.17.0
  • tensorflow_datasets ==4.5.2
action_angle_networks/requirements.txt pypi
  • absl-py *
  • chex *
  • flax *
  • jax *
  • ml_collections *
  • numpy *
action_gap_rl/requirements.txt pypi
  • absl-py >=0.5.0
  • gym >=0.12.1
  • numpy >=1.13.3
  • pyyaml >=3.12.0
  • tensorflow ==2.1.0
activation_clustering/setup.py pypi
  • PyYaml ==5.3
  • dec_da *
  • jupyter ==1.0.0
  • matplotlib ==2.2.4
  • scikit-learn ==0.19.2
  • scipy ==1.2.2
  • tensorflow-datasets ==2.1.0
  • tensorflow-gpu ==2.1.0
active_selective_prediction/requirements.txt pypi
  • Keras-Preprocessing >=1.1.2
  • keras >=2.10.0
  • keras-nightly >=2.11.0.dev2022100907
  • numpy >=1.21.6
  • pandas >=1.3.5
  • pytz >=1.3.5
  • scikit-learn >=1.0.2
  • scipy >=1.7.3
  • tensorboard >=2.10.0
  • tensorboard-data-server >=0.6.1
  • tensorboard-plugin-wit >=1.8.1
  • tensorflow >=2.11.0
  • tensorflow-datasets >=4.7.0
  • tensorflow-estimator >=2.10.0
  • tensorflow-hub >=0.12.0
  • tensorflow-io-gcs-filesystem >=0.27.0
  • tensorflow-metadata >=1.10.0
  • tf-estimator-nightly >=2.11.0.dev2022100908
  • tqdm >=4.64.1
  • transformers >=4.24.0
  • wilds >=2.0.0
adaptive_learning_rate_tuner/requirements.txt pypi
  • numpy >=1.13.3
  • tensorflow ==1.12
adaptive_low_rank/requirements.txt pypi
  • absl-py >=1.2.0
  • clu >=0.0.12,<0.1
  • numpy >=1.23.5,<=1.26
  • tensorflow >=2.15,<2.16
  • tensorflow-datasets >=4.8,<4.10
  • tensorflow_text >=2.15,<2.16
  • transformers >=4.34.1,<=4.37
adaptive_prediction/requirements.txt pypi
  • jax >=0.2
  • jupyter >=6.4.0
  • matplotlib >=3.4
  • numpy >=1.20.3
  • pybullet >=3.05
  • seaborn >=0.11.1
after_kernel/requirements.txt pypi
  • numpy >=1.19.5
  • scikit-learn >=0.24.2
  • scipy >=1.6.3
  • sklearn >=0.0
  • tensorflow >=2.4.1
  • tensorflow-addons >=0.12.1
  • tensorflow-datasets >=4.2.0
agile_deliberation/requirements.txt pypi
  • Pillow *
  • google-genai *
  • h5py *
  • ipython *
  • ipywidgets *
  • notebook *
  • numpy *
  • open_clip_torch *
  • pandas *
  • python-slugify *
  • requests *
  • scikit-learn *
  • torch *
  • tqdm *
agile_modeling/requirements.txt pypi
al_for_fep/requirements.txt pypi
  • absl-py *
  • ml_collections *
  • modAL *
  • numpy *
  • pandas *
  • rdkit *
  • scikit-learn *
  • scipy *
algae_dice/requirements.txt pypi
  • gym >=0.15.4
  • mujoco-py >=1.50.1.68
  • numpy >=1.17.3
  • tensorboard >=2.0.1
  • tensorflow >=2.0.0
  • tensorflow-probability >=0.8.0
  • tf-agents-nightly >=0.2.0.dev20191125
  • tfp-nightly >=0.9.0.dev20191125
  • tqdm >=4.36.1
aloe/requirements.txt pypi
  • matplotlib *
  • numpy *
  • scipy *
  • sympy *
  • torch ==v1.4.0
  • torch_scatter ==v2.0.4
  • tqdm *
aloe/setup.py pypi
alx/requirements.txt pypi
  • flax *
  • jax *
  • numpy *
  • tensorflow *
amortized_bo/requirements.txt pypi
  • attrs >=19.3.0
  • gin-config >=0.3.0
  • jax >=0.1.71
  • jaxlib >=0.1.48
  • pandas >=1.0.5
android_in_the_wild/requirements.txt pypi
  • json >=2.0.9
  • matplotlib >=3.6.1
  • numpy >=1.24.1
  • pandas >=1.1.5
  • tensorflow >=2.14.0
aquadem/requirements.txt pypi
  • dm-acme ==0.3.0
  • dm-control ==0.0.425341097
  • dm-env ==1.5
  • dm-haiku ==0.0.5
  • dm-reverb ==0.6.1
  • dm-sonnet ==2.0.0
  • flax ==0.4.0
  • gym ==0.21.0
  • jax ==0.2.28
  • numpy ==1.21.5
  • optax ==0.1.1
  • rlds ==0.1.3
  • tensorflow ==2.7.0
  • tensorflow_datasets ==4.4.0
ara_optimization/requirements.txt pypi
  • absl-py >=1.0.0
  • numpy *
  • pandas >=1.5.3
  • scipy *
arithmetic_sampling/requirements.txt pypi
  • Markdown ==3.4.3
  • MarkupSafe ==2.1.2
  • PyYAML ==6.0
  • Pygments ==2.15.1
  • Werkzeug ==2.3.4
  • absl-py ==1.4.0
  • array-record ==0.2.0
  • astunparse ==1.6.3
  • cached-property ==1.5.2
  • cachetools ==5.3.0
  • certifi ==2023.5.7
  • charset-normalizer ==3.1.0
  • chex ==0.1.7
  • click ==8.1.3
  • contextlib2 ==21.6.0
  • dm-tree ==0.1.8
  • editdistance ==0.6.2
  • etils ==1.3.0
  • fiddle ==0.2.6
  • flatbuffers ==23.5.9
  • gast ==0.4.0
  • gin-config ==0.5.0
  • google-auth ==2.18.1
  • google-auth-oauthlib ==1.0.0
  • google-pasta ==0.2.0
  • googleapis-common-protos ==1.59.0
  • graphviz ==0.20.1
  • grpcio ==1.54.2
  • h5py ==3.8.0
  • idna ==3.4
  • importlib-resources ==5.12.0
  • jax ==0.4.10
  • jaxlib ==0.4.10
  • jestimator ==0.3.3
  • keras ==2.12.0
  • libclang ==16.0.0
  • libcst ==0.4.9
  • markdown-it-py ==2.2.0
  • mdurl ==0.1.2
  • ml-collections ==0.1.1
  • ml-dtypes ==0.1.0
  • msgpack ==1.0.5
  • mypy-extensions ==1.0.0
  • nest-asyncio ==1.5.6
  • numpy ==1.23.5
  • oauthlib ==3.2.2
  • opt-einsum ==3.3.0
  • orbax-checkpoint ==0.2.3
  • packaging ==23.1
  • promise ==2.3
  • protobuf ==3.20.3
  • psutil ==5.9.5
  • pyasn1 ==0.5.0
  • pyasn1-modules ==0.3.0
  • pyglove ==0.3.0
  • requests ==2.30.0
  • requests-oauthlib ==1.3.1
  • rich ==13.3.5
  • rsa ==4.9
  • scipy ==1.10.1
  • sentencepiece ==0.1.99
  • six ==1.16.0
  • tensorboard ==2.12.3
  • tensorboard-data-server ==0.7.0
  • tensorflow ==2.12.0
  • tensorflow-cpu ==2.12.0
  • tensorflow-estimator ==2.12.0
  • tensorflow-hub ==0.13.0
  • tensorflow-io-gcs-filesystem ==0.32.0
  • tensorflow-metadata ==1.13.1
  • tensorflow-text ==2.12.1
  • tensorstore ==0.1.36
  • termcolor ==2.3.0
  • tfds-nightly ==4.9.2.dev202305180044
  • toml ==0.10.2
  • toolz ==0.12.0
  • tqdm ==4.65.0
  • typing-inspect ==0.8.0
  • typing_extensions ==4.5.0
  • urllib3 ==1.26.15
  • wrapt ==1.14.1
  • zipp ==3.15.0
assemblenet/requirements.txt pypi
  • absl-py >=0.5.0
  • numpy >=1.13.3
  • tensorflow ==1.15
assessment_plan_modeling/requirements.txt pypi
  • absl-py *
  • apache-beam >=2.30.0
  • frozendict >=1.2
  • gin-config >=0.1
  • numpy >=1.19.2
  • seqeval *
  • sklearn *
  • tensorflow >=2.7
  • tf-models-official >=2.7
attribute_semantics/requirements.txt pypi
  • absl-py *
  • attr *
  • numpy *
  • pandas *
  • scikit-learn *
  • six *
  • tensorflow *
attribution/requirements.txt pypi
automated_feature_engineering/requirements.txt pypi
  • Pillow *
  • absl-py ==1.4.0
  • db-dtypes *
  • google-auth *
  • google-cloud-bigquery *
  • google-cloud-bigquery-storage *
  • google-cloud-storage *
  • pandas >=2.2.1
  • scikit-learn ==1.2.1
  • tensorflow ==2.11
  • tensorflow_addons ==0.19.0
  • tensorflow_probability ==0.19.0
automatic_structured_vi/requirements.txt pypi
  • inference-gym ==0.0.4
  • matplotlib *
  • pandas *
  • tensorflow ==2.5.0
  • tensorflow-datasets ==4.2.0
  • tfp-nightly ==0.13.0.dev20210126
aux_tasks/requirements.txt pypi
  • Keras-Preprocessing ==1.1.2
  • Markdown ==3.3.7
  • Pillow ==9.1.1
  • PyYAML ==6.0
  • Shapely ==1.8.2
  • Werkzeug ==2.1.2
  • absl-py ==1.1.0
  • ale-py ==0.7.5
  • astunparse ==1.6.3
  • cached-property ==1.5.2
  • cachetools ==5.2.0
  • certifi ==2022.5.18.1
  • charset-normalizer ==2.0.12
  • chex ==0.1.3
  • cloudpickle ==2.1.0
  • clu ==0.0.7
  • contextlib2 ==21.6.0
  • cycler ==0.11.0
  • decorator ==5.1.1
  • dill ==0.3.5.1
  • dm-reverb ==0.7.3
  • dm-tree ==0.1.7
  • dopamine-rl ==4.0.5
  • etils ==0.6.0
  • flatbuffers ==2.0
  • flax ==0.5.0
  • fonttools ==4.33.3
  • frozendict ==2.3.2
  • gast ==0.5.3
  • gin-config ==0.5.0
  • google-auth ==2.6.6
  • google-auth-oauthlib ==0.4.6
  • google-pasta ==0.2.0
  • googleapis-common-protos ==1.56.2
  • grpcio ==1.46.3
  • gym ==0.24.0
  • gym-minigrid ==1.0.3
  • gym-notices ==0.0.6
  • h5py ==3.7.0
  • idna ==3.3
  • importlib-metadata ==4.11.4
  • importlib-resources ==5.7.1
  • jax ==0.3.13
  • jaxlib ==0.3.10
  • keras ==2.8.0
  • kiwisolver ==1.4.2
  • libclang ==14.0.1
  • matplotlib ==3.5.2
  • ml-collections ==0.1.1
  • msgpack ==1.0.4
  • numpy ==1.22.4
  • oauthlib ==3.2.0
  • opencv-python ==4.5.5.64
  • opt-einsum ==3.3.0
  • optax ==0.1.2
  • packaging ==21.3
  • pandas ==1.4.2
  • portpicker ==1.5.0
  • promise ==2.3
  • protobuf ==3.19.4
  • psutil ==5.9.1
  • pyasn1 ==0.4.8
  • pyasn1-modules ==0.2.8
  • pygame ==2.1.2
  • pyparsing ==3.0.9
  • python-dateutil ==2.8.2
  • pytz ==2022.1
  • requests ==2.27.1
  • requests-oauthlib ==1.3.1
  • rsa ==4.8
  • scipy ==1.8.1
  • six ==1.16.0
  • tensorboard ==2.8.0
  • tensorboard-data-server ==0.6.1
  • tensorboard-plugin-wit ==1.8.1
  • tensorflow ==2.8.2
  • tensorflow-datasets ==4.6.0
  • tensorflow-estimator ==2.8.0
  • tensorflow-io-gcs-filesystem ==0.26.0
  • tensorflow-metadata ==1.8.0
  • tensorflow-probability ==0.16.0
  • termcolor ==1.1.0
  • tf-slim ==1.1.0
  • toml ==0.10.2
  • toolz ==0.11.2
  • tqdm ==4.64.0
  • typing_extensions ==4.2.0
  • urllib3 ==1.26.9
  • wrapt ==1.14.1
  • zipp ==3.8.0
axial/requirements.txt pypi
  • tensorflow-datasets ==1.3.0
  • tensorflow-gpu ==1.15.0
bam/requirements.txt pypi
  • numpy >=1.16.4
  • scipy >=1.2.0
  • sklearn >=0.0.0
bangbang_qaoa/requirements.txt pypi
  • absl-py *
  • cirq >=0.8
  • mock >=1
  • numpy >=1.16
basisnet/requirements.txt pypi
  • absl-py >=0.11.0
  • attr *
  • numpy >=1.16.4
  • tensorflow >=2.4.0
  • tensorflow_federated >=0.5.0
batch_science/requirements.txt pypi
  • matplotlib >=3.0.3
  • numpy >=1.16.2
  • pandas >=0.24.1
behavior_regularized_offline_rl/requirements.txt pypi
  • absl-py >=0.5.0
  • gin-config *
  • gym ==0.12.1
  • mujoco-py <1.50.2,>=1.50.1
  • numpy >=1.13.3
  • tensorflow ==1.14.0
  • tensorflow-probability ==0.7.0rc0
  • tf-agents *
behavioral_dispositions/requirements.txt pypi
  • google-genai *
  • jinja2 *
  • kagglehub *
  • pandas *
  • tqdm *
better_storylines/requirements.datagen.txt pypi
  • absl-py ==0.9.0
  • apache-beam ==2.20.0
  • bert-tensorflow ==1.0.1
  • numpy >=1.18.3
  • tensorflow ==1.15.0
  • tensorflow-datasets >=3.0
  • tensorflow-hub ==0.8.0
better_storylines/requirements.train.txt pypi
  • absl-py ==0.9.0
  • apache-beam >=2.20.0
  • gin-config ==0.3.0
  • numpy >=1.18
  • scipy ==1.4.1
  • tensorflow >=2.1.0
  • tensorflow-datasets >=3.0
  • tensorflow-hub ==0.8.0
betum_tool/requirements.txt pypi
  • Pillow >=9.5.0
  • absl-py >=1.4.0
  • accelerate >=0.21.0
  • datasets >=2.14.0
  • etils >=1.5.0
  • matplotlib >=3.7.0
  • ml-collections >=0.1.1
  • numpy >=1.24.0
  • pycocotools >=2.0.7
  • pytest >=7.0.0
  • safetensors >=0.4.0
  • scipy >=1.10.0
  • tensorboardX >=2.6
  • torch >=2.0.0
  • torchmetrics >=1.8.0
  • torchvision >=0.15.0
  • transformers >=4.36.2,<5.0.0