Ecosyste.ms: Summary

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Awesome Remote Sensing Foundation Models: https://github.com/NJU-LHRS/official-CMID

Score: 4.941642422609305

Last synced: about 7 hours ago
JSON representation

Repository metadata:

The official implementation of paper "Unified Self-Supervised Learning Framework for Remote Sensing Images".

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 38
Total Committers: 2
Avg Commits per committer: 19.0
Development Distribution Score (DDS): 0.184

Commits in past year: 27
Committers in past year: 2
Avg Commits per committer in past year: 13.5
Development Distribution Score (DDS) in past year: 0.259

Name Email Commits
pUmpKin-Co 1****4@q****m 31
pUmpKin-Co 1****4@q****m 7

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 20
Total pull requests: 0
Average time to close issues: about 1 month
Average time to close pull requests: N/A
Total issue authors: 17
Total pull request authors: 0
Average comments per issue: 5.65
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 18
Past year pull requests: 0
Past year average time to close issues: about 1 month
Past year average time to close pull requests: N/A
Past year issue authors: 15
Past year pull request authors: 0
Past year average comments per issue: 5.94
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/NJU-LHRS/official-CMID

Top Issue Authors

  • XuanjiaZ (4)
  • yypsWinnie (1)
  • ws1hope (1)
  • wangjiawen-123 (1)
  • tulilin (1)
  • ttaohe (1)
  • sskim0126 (1)
  • mrk1992 (1)
  • miraesposito (1)
  • Lupin1998 (1)
  • lhj-3 (1)
  • letme-hj (1)
  • jinglin80 (1)
  • guoya1003 (1)
  • dbsdmlgus50 (1)

Top Pull Request Authors

Top Issue Labels

Top Pull Request Labels

Dependencies

Pretrain/environment.yml conda
  • backcall 0.2.0
  • backports 1.0
  • backports.functools_lru_cache 1.6.4
  • blas 1.0
  • brotlipy 0.7.0
  • ca-certificates 2022.12.7
  • certifi 2022.12.7
  • cffi 1.15.1
  • charset-normalizer 2.0.4
  • cryptography 39.0.1
  • cudatoolkit 11.3.1
  • debugpy 1.5.1
  • decorator 5.1.1
  • flit-core 3.8.0
  • freetype 2.12.1
  • giflib 5.2.1
  • idna 3.4
  • importlib_metadata 6.1.0
  • intel-openmp 2021.4.0
  • ipykernel 6.15.0
  • jpeg 9e
  • jupyter_client 8.1.0
  • jupyter_core 5.3.0
  • lerc 3.0
  • libdeflate 1.17
  • libpng 1.6.39
  • libsodium 1.0.18
  • libtiff 4.5.0
  • libuv 1.44.2
  • libwebp 1.2.4
  • libwebp-base 1.2.4
  • lz4-c 1.9.4
  • matplotlib-inline 0.1.6
  • mkl 2021.4.0
  • mkl-service 2.4.0
  • mkl_fft 1.3.1
  • mkl_random 1.2.2
  • nest-asyncio 1.5.6
  • numpy 1.23.5
  • numpy-base 1.23.5
  • openssl 1.1.1t
  • parso 0.8.3
  • pickleshare 0.7.5
  • platformdirs 2.5.2
  • prompt_toolkit 3.0.38
  • pure_eval 0.2.2
  • pycparser 2.21
  • pyopenssl 23.0.0
  • pysocks 1.7.1
  • python 3.9.12
  • python-dateutil 2.8.2
  • python_abi 3.9
  • pytorch 1.12.0
  • pytorch-mutex 1.0
  • pywin32 305
  • pyzmq 23.2.0
  • requests 2.28.1
  • setuptools 65.6.3
  • six 1.16.0
  • sqlite 3.41.1
  • stack_data 0.6.2
  • tk 8.6.12
  • torchaudio 0.12.0
  • torchvision 0.13.0
  • tornado 6.2
  • typing_extensions 4.4.0
  • tzdata 2022g
  • urllib3 1.26.14
  • vc 14.2
  • vs2015_runtime 14.27.29016
  • win_inet_pton 1.1.0
  • wincertstore 0.2
  • xz 5.2.10
  • zeromq 4.3.4
  • zlib 1.2.13
  • zstd 1.5.2