machine-learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Repositories (1435)
Turi Create simplifies the development of custom machine learning models.
Refine high-quality datasets and visual AI models
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science...
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. First posted in 2016. Pull requests wel...
Open source annotation tool for machine learning practitioners.
Open Machine Learning Course
Fast and Accurate ML in 3 Lines of Code
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format ex...
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intellig...
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Content aware image resize library
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combin...
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Build, Manage and Deploy AI/ML Systems
Techniques for deep learning with satellite & aerial imagery
A resource repository for 3D machine learning
Data science interview questions and answers
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orche...
A unified framework for machine learning with time series
TensorFlow-based neural network library
Best Practices, code samples, and documentation for Computer Vision.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
Bindu: The identity, communication, and payments layer for AI agents.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to...
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Deep learning library featuring a higher-level API for TensorFlow.
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your...
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
A python library for user-friendly forecasting and anomaly detection on time series.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Containers for machine learning
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
:octocat: Machine Learning for Cyber Security
ML.NET is an open source and cross-platform machine learning framework for .NET.
Running large language models on a single GPU for throughput-oriented scenarios.
AutoML library for deep learning
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
TensorFlow Tutorials with YouTube Videos
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]...