transformers vs ReAct
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| transformers | ReAct | |
|---|---|---|
| Tagline | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models | [ICRL 2023] Repository for ReAct: Synergizing Reasoning and Acting in Language Models |
| Stars | 162k | 4.0k |
| Forks | 34k | 385 |
| Open issues | 2.5k | 5 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Feb 6, 2024 |
| Categories | Model Training, Data & Retrieval, LLM Frameworks | LLM Frameworks, AI Agents |
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
Python
ReAct
Jupyter Notebook-based project that explores the integration of reasoning and acting capabilities within large language models, particularly GPT-3. It involves experimenting with specific tasks from datasets like HotpotQA, FEVER, AlfWorld, and WebShop.
Jupyter Notebook