Popular GitHub Repositories for Machine Learning On Graphs

An Open Source Machine Learning Framework for Everyone

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Stable Diffusion web UI

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

Deep Learning for humans

Clone a voice in 5 seconds to generate arbitrary speech in real-time

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

Investment Research for Everyone, Everywhere.

Deepfakes Software For All

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

100 Days of ML Coding

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. ?Docker-friendly.?Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

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Learn how to design, develop, deploy and iterate on production-grade ML applications.