machine-learning

An Open Source Machine Learning Framework for Everyone

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

🤗 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.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Tensors and Dynamic neural networks in Python with strong GPU acceleration

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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。

The fastest path to AI-powered full stack observability, even for lean teams.

Tesseract Open Source OCR Engine (main repository)

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

Open Data Platform for analysts, quants and AI agents.

Learn AI Engineering! Learn it. Build it. Ship it for others.

12 Weeks, 24 Lessons, AI for All!

scikit-learn: machine learning in Python

🧑‍🏫 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

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Deepfakes Software For All

The world's simplest facial recognition api for Python and the command line

100 Days of ML Coding

We write your reusable computer vision tools. 💜

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

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.

The Julia Programming Language

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

A community-supported supercharged document management system: scan, index and archive all your documents

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

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!

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.

AI-Powered Photos App 🌈💎✨

Google Research

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

吴恩达老师的机器学习课程个人笔记

Vane is an AI-powered answering engine.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Cross-platform, customizable ML solutions for live and streaming media.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Caffe: a fast open framework for deep learning.

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

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

💫 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.

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

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

Real-time face swap for PC streaming or video calls

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

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

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

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

The Modular Platform (includes MAX & Mojo)

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

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.

Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai

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

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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

The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

The fastai deep learning library

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.

The most cited deep learning papers

南瓜书：《机器学习》（西瓜书）公式详解

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.

Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

The fastai book, published as Jupyter Notebooks

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

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Learn OpenCV : C++ and Python Examples

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

CVPR 2026 论文和开源项目合集

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

100-Days-Of-ML-Code中文版

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

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

Best Practices on Recommendation Systems

☁️ Build multimodal AI applications with cloud-native stack

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

Open standard for machine learning interoperability

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

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants