https://github.com/xingyaoww/code-act
llm llm-agent llm-finetuning llm-framework
Score: 8.55333223803211
Last synced: about 10 hours ago
JSON representation
Repository metadata:
Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
- Host: GitHub
- URL: https://github.com/xingyaoww/code-act
- Owner: xingyaoww
- License: mit
- Created: 2024-01-13T08:06:04.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-05-23T23:14:59.000Z (over 2 years ago)
- Last Synced: 2026-10-19T16:58:02.994Z (6 days ago)
- Topics: llm, llm-agent, llm-finetuning, llm-framework
- Language: Python
- Homepage:
- Size: 24.1 MB
- Stars: 1,713
- Watchers: 20
- Forks: 147
- Open Issues: 15
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: Xingyao Wang
- Login: xingyaoww
- Email:
- Kind: user
- Description: Co-founder & CAIO @All-Hands-AI. PhD candidate in CS @Illinois. B.S. in CS & DS @umich. Ex-Intern @Google @Microsoft @ByteDance @Tencent.
- Website: xwang.dev
- Location:
- Twitter: xingyaow_
- Company: OpenHands / All Hands AI
- Icon url: https://avatars.githubusercontent.com/u/38853559?u=9df454f55dc63f711f5c316ef890b5399bd97024&v=4
- Repositories: 117
- Last Synced at: 2026-10-22T16:40:30.817Z
- Profile URL: https://github.com/xingyaoww
GitHub Events
Total
- Fork event: 73
- Issues event: 7
- Pull request event: 1
- Watch event: 847
- Total: 928
Last Year
- Fork event: 8
- Watch event: 73
- Total: 81
Committers metadata
Last synced: 1 day ago
Total Commits: 29
Total Committers: 3
Avg Commits per committer: 9.667
Development Distribution Score (DDS): 0.069
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Xingyao Wang | x****6@i****u | 27 |
| Yizhe Zhang | j****4@g****m | 1 |
| Ikko Eltociear Ashimine | e****r@g****m | 1 |
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 15
Total pull requests: 8
Average time to close issues: 15 days
Average time to close pull requests: 2 days
Total issue authors: 14
Total pull request authors: 5
Average comments per issue: 1.93
Average comments per pull request: 0.0
Merged pull request: 4
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 2
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 2
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- XGJ111 (2)
- styk-tv (1)
- yyghefei (1)
- Stevenkaseiyo (1)
- DPCau (1)
- richardzhuang0412 (1)
- faddy19 (1)
- JohannesvdMeer (1)
- TendouArisu (1)
- pythonCod (1)
- seshubonam (1)
- huseinzol05 (1)
- leeclouddragon (1)
- xingjianleng (1)
Top Pull Request Authors
- dreasysnail (2)
- tengyaolong2000 (2)
- eltociear (2)
- octo-patch (1)
- npt-1707 (1)
Top Issue Labels
Top Pull Request Labels
Dependencies
- Click *
- accelerate *
- apscheduler *
- arxiv *
- backoff *
- charset-normalizer ==3.1.0
- cython *
- datasets *
- docker *
- flask *
- google-api-python-client *
- google-generativeai *
- grpcio *
- gunicorn *
- gym ==0.26.2
- h5py *
- ipython *
- jsonlines *
- langchain *
- matplotlib *
- networkx *
- nltk *
- numpy *
- openai ==0.28
- opencv-python *
- pandarallel *
- pandas *
- pipreqs *
- pre-commit *
- pycocotools *
- pyext *
- pylatexenc *
- python-dateutil *
- pytz *
- pyyaml *
- revtok *
- scipy ==1.10.1
- seaborn *
- statsmodels *
- streamlit *
- sympy *
- thefuzz *
- tokenizers *
- tornado *
- tqdm *
- transformers *
- visdom *
- vllm *
- vocab *
- wikipedia *
- bs4 *
- googletrans ==3.1.0a0
- nltk ==3.6.5
- rank_bm25 *
- requests ==2.25.1
- selenium *
- sentence_transformers ==2.2.2
- tqdm ==4.64.1
- Pillow *
- accelerate *
- fschat *
- gym *
- openai *
- regex *
- selenium *
- transformers *
- cuda-toolkit
- pip
- python 3.9.*
- pytorch-cuda 11.8.*