machine-learning

A fork of gym-retro with additional games, emulators and supported platforms

mlr3: Machine Learning in R - next generation

🦘 Explore multimedia datasets at scale

torchview: visualize pytorch models

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced

Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊

:helicopter: 保险行业语料库，聊天机器人

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

Essential Guide to keep up with AI/ML/DL/CV

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

A powerful and modular toolkit for record linkage and duplicate detection in Python

🟣 LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.

Layers Outputs and Gradients in Keras. Made easy.

Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.

Code and other material for the book "Deep Learning and the Game of Go"

Build agents which are controlled by LLMs

The Hitchhiker's Guide to Data Science for Social Good

A curated list of gradient boosting research papers with implementations.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Mother of All BCI Benchmarks

Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南

Upscale an image by a factor of 4, while generating photo-realistic details.

Extensible, Efficient Quantum Algorithm Design for Humans.

Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/