deep-learning

tensorflow

C++

95

An Open Source Machine Learning Framework for Everyone

transformers

Python

95

🤗 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.

AI-Engineering-Lab

Jupyter Notebook

75

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

pytorch

Python

90

Tensors and Dynamic neural networks in Python with strong GPU acceleration

unlazy

JavaScript

95

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

ragflow

Go

95

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

MiMo-Code

TypeScript

95

MiMo Code: Where Models and Agents Co-Evolve