📅 Projects created in 2018

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text,…

Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设…

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

100 Days of ML Coding

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

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术…

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

AI-Powered Photos App 🌈💎✨

Make AI do actual work. Swap the model anytime — keep everything you've built.

Google Research

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities…

Find secrets with Gitleaks 🔑

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to…

南瓜书：《机器学习》（西瓜书）公式详解

Production-grade Rust-native trading engine with deterministic event-driven architecture

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being…

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current…

100-Days-Of-ML-Code中文版

Best Practices on Recommendation Systems

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发…

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

互联网公司技术架构，微信/淘宝/微博/腾讯/阿里/美团点评/百度/OpenAI/Google/Facebook/Am…

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II,…

📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

VIP cheatsheets for Stanford's CS 229 Machine Learning

A WebGL accelerated JavaScript library for training and deploying ML models.

Deploy real projects from GitHub or your AI coding agent, then keep them running with AI-powered operations.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for…

:satellite: Simple and ready-to-use tutorials for TensorFlow

This repository is no longer maintained.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible…

A hyperparameter optimization framework

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Python package built to ease deep learning on graph, on top of existing DL frameworks.

PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by…

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Low-code framework for building custom LLMs, neural networks, and other AI models

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning…

A paper list of object detection using deep learning.

🐍 Geometric Computer Vision Library for Spatial AI

开源运维平台：面向中小型企业设计的轻量级无Agent的自动化运维平台，整合了主机…

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

AI Code Completions

Open source annotation tool for machine learning practitioners.

Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Content aware image resize library

Techniques for deep learning with satellite & aerial imagery

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum:…

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text,…

A unified framework for machine learning with time series

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via…

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

A build-it-yourself, 6-wheel rover based on the rovers on Mars!

A python library for user-friendly forecasting and anomaly detection on time series.

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

ML.NET is an open source and cross-platform machine learning framework for .NET.

A python library built to empower developers to build applications and systems with self-contained Computer…

Lab Materials for MIT 6.S191: Introduction to Deep Learning

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal…

Transportation planning and traffic simulation software for creating cities friendlier to walking, biking,…

BertViz: Visualize Attention in Transformer Models

OpenTTD is an open source simulation game based upon Transport Tycoon Deluxe

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/o…

The Open Source Feature Store for AI/ML

🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web

VIP cheatsheets for Stanford's CS 230 Deep Learning

AI实战-practicalAI 中文版

NYU Deep Learning Spring 2020

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code…

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify,…

RSTutorials: A Curated List of Must-read Papers on Recommender System.

A Modern Orchestration Engine for Security

🏅 Collection of Kaggle Solutions and Ideas 🏅

A curated list of awesome self-supervised methods

TensorFlow documentation

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献,…

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning,…

Gluon CV Toolkit

🔥 Awesome list of resources on Web Development.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data…

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning…

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-na…

Play couplet with seq2seq model. 用深度学习对对联。

A C++ standalone library for machine learning

Build Graph Nets in Tensorflow

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.