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An Open Source Machine Learning Framework for Everyone

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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。

12 Weeks, 24 Lessons, AI for All!

🧑‍🏫 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

100 Days of ML Coding

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

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

Streamlit — A faster way to build and share data apps.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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

Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Caffe: a fast open framework for deep learning.

深度学习经典、新论文逐段精读

💫 Industrial-strength Natural Language Processing (NLP) in Python

Visualizer for neural network, deep learning and machine learning models

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

PyTorch Tutorial for Deep Learning Researchers

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

:memo: An awesome Data Science repository to learn and apply for real world problems.

Code and documentation to train Stanford's Alpaca models, and generate the data.

State-of-the-art 2D and 3D Face Analysis Project

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

A curated list of awesome Deep Learning tutorials, projects and communities.

A complete daily plan for studying to become a machine learning engineer.

Deezer source separation library including pretrained models.

The fastai deep learning library

SoftVC VITS Singing Voice Conversion

GUI for a Vocal Remover that uses Deep Neural Networks.

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

deep learning for image processing including classification and object-detection etc.

The most cited deep learning papers

A game theoretic approach to explain the output of any machine learning model.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.