HugNLP
CodeTF
HugNLP | CodeTF | |
---|---|---|
3 | 9 | |
370 | 1,435 | |
-0.3% | 0.6% | |
7.6 | 6.9 | |
8 months ago | about 1 month ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
HugNLP
CodeTF
- CodeTF: Transformer Based Library for Code Generating Language Models
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12-Jun-2023
CodeTF, an open-source library that utilizes Transformer-based models to enhance code intelligence (https://github.com/salesforce/CodeTF)
- CodeTF: One-Stop Transformer Library for State-of-the-Art Code LLM
- CodeTF – A One-Stop Transformer Library for State-of-the-Art Code LLM
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CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Source Code Repo: https://github.com/salesforce/CodeTF
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Paper page - CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Code/Data: The CodeTF library is open-sourced and available at https://github.com/salesforce/CodeTF
What are some alternatives?
LLMSurvey - The official GitHub page for the survey paper "A Survey of Large Language Models".
CodeT5 - Home of CodeT5: Open Code LLMs for Code Understanding and Generation
alpaca_farm - A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
prompt-lib - A set of utilities for running few-shot prompting experiments on large-language models
ray-llm - RayLLM - LLMs on Ray
small-text - Active Learning for Text Classification in Python
HugNLP - HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab
zshot - Zero and Few shot named entity & relationships recognition
AtomGPT - ä¸è‹±æ–‡é¢„è®ç»ƒå¤§æ¨¡åž‹ï¼Œç›®æ ‡ä¸ŽChatGPT的水平一致