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A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

TensorFlow documentation

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

mlpack: a fast, header-only C++ machine learning library

Supercharge Your Model Training

Build Graph Nets in Tensorflow

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Simple and Distributed Machine Learning

Probabilistic time series modeling in Python

Image augmentation library in Python for machine learning.

Time series forecasting with PyTorch

This repo contains the Hugging Face Deep Reinforcement Learning Course.

An Engine-Agnostic Deep Learning Framework in Java

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Relax! Flux is the ML library that doesn't make you tensor

On-device AI across mobile, embedded and edge for PyTorch

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

Fast inference engine for Transformer models

A unified, comprehensive and efficient recommendation library

LLM training code for Databricks foundation models

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Scalable and user friendly neural :brain: forecasting algorithms.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data