Deep Learning Open Source Projects

An Open Source Machine Learning Framework for Everyone

🤗 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.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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。

Models and examples built with TensorFlow

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

A curated list of awesome Machine Learning frameworks, libraries and software.

🧑‍🏫 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

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

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. 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.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

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

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!

Making large AI models cheaper, faster and more accessible

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.

🚀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 everything from linear regression to deep learning.

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.

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

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

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.

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

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

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

Deezer source separation library including pretrained models.

SoftVC VITS Singing Voice Conversion

The fastai deep learning library

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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.

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