🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Learn AI Engineering! Learn it. Build it. Ship it for others.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
CVPR 2026 论文和开源项目合集
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Open-source offline translation library written in Python
Superduper: End-to-end framework for building custom AI applications and agents.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
MLeap: Deploy ML Pipelines to Production
allRank is a framework for training learning-to-rank neural models based on PyTorch.
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Research experiments exploring uncommon quant techniques.
Universal 1d/2d data containers with Transformers functionality for data analysis.