deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1427)
An Open Source Machine Learning Framework for Everyone
Stable Diffusion web UI
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both i...
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Open Source Computer Vision Library
List of Computer Science courses with video lectures.
《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 a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior...
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ....
Deep Learning for humans
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tra...
Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT GPT-5.6, Codex GPT-5.6, GPT-5.5. Goog...
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Deepfakes Software For All
12 Weeks, 24 Lessons, AI for All!
100 Days of ML Coding
Learn how to develop, deploy and iterate on production-grade ML applications.
We write your reusable computer vision tools. 💜
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions....
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Streamlit — A faster way to build and share data apps.
Learn it. Build it. Ship it for others.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
AI-Powered Photos App 🌈💎✨
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Pure Javascript OCR for more than 100 Languages 📖🎉🖥
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
Cross-platform, customizable ML solutions for live and streaming media.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Caffe: a fast open framework for deep learning.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
💫 Industrial-strength Natural Language Processing (NLP) in Python
深度学习经典、新论文逐段精读
Visualizer for neural network, deep learning and machine learning models
PyTorch Tutorial for Deep Learning Researchers
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover...
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Roadmap to becoming an Artificial Intelligence Expert in 2022
Code and documentation to train Stanford's Alpaca models, and generate the data.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.