machine-learning Tools

machine-learning-for-software-engineers

github

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

d2l-en

github

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

xgboost

github

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

fastai

github

The fastai deep learning library

awesome-deep-learning

github

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

Resume-Matcher

github

Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.

DeepSpeech

github

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.

awesome-deep-learning-papers

github

The most cited deep learning papers

modular

github

The Modular Platform (includes MAX & Mojo)

pumpkin-book

github

南瓜书：《机器学习》（西瓜书）公式详解

handson-ml

github

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

mlflow

github

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.

shap

github

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

haystack

github

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

fastbook

github

The fastai book, published as Jupyter Notebooks

WaveFunctionCollapse

github

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

homemade-machine-learning

github

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

Paddle

github

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）

cs249r_book

github

Machine Learning Systems

NLP-progress

github

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.

learnopencv

github

Learn OpenCV : C++ and Python Examples

mlc-llm

github

Universal LLM Deployment Engine with ML Compilation

nautilus_trader

github

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

recommenders

github

Best Practices on Recommendation Systems