deep-neural-networks

tensorflow

C++

95

An Open Source Machine Learning Framework for Everyone

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.

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.

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

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.