Deep Learning is an artificial neural network composed of many layers.
There are 75,118 repositories under deep-learning topic.
An Open Source Machine Learning Framework for Everyone
Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
List of Computer Science courses with video lectures.
Deep Learning for humans
Clone a voice in 5 seconds to generate arbitrary speech in real-time
🧑🏫 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, ... 🧠
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
DeepFaceLab is the leading software for creating deepfakes.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
100 Days of ML Coding
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Making large AI models cheaper, faster and more accessible
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Learn how to design, develop, deploy and iterate on production-grade ML applications.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
Pure Javascript OCR for more than 100 Languages 📖🎉🖥
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
12 Weeks, 24 Lessons, AI for All!
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
PyTorch Tutorial for Deep Learning Researchers
Code and documentation to train Stanford's Alpaca models, and generate the data.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Roadmap to becoming an Artificial Intelligence Expert in 2022
A complete daily plan for studying to become a machine learning engineer.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.