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 (1414)
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
The Open Source Feature Store for AI/ML
🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Become a cracked AI/ML Research Engineer
Flower: A Friendly Federated AI Framework
:speech_balloon: Machine Learning Course with Python:
The AI search platform
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Largest list of models for Core ML (for iOS 11+)
An open source library for deep learning end-to-end dialog systems and chatbots.
A log of things I'm learning
Reading list for research topics in multimodal machine learning
AI实战-practicalAI 中文版
Fit interpretable models. Explain blackbox machine learning.
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Com...
A Flexible and Powerful Parameter Server for large-scale machine learning
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in...
A Python scikit for building and analyzing recommender systems
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
Postgres with GPUs for ML/AI apps.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
🎓 Sharing machine learning course / lecture notes.
Friendly machine learning for the web! 🤖
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
[ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Instant Kubernetes-Native Application Observability
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
🏅 Collection of Kaggle Solutions and Ideas 🏅
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Natural Language Processing Best Practices & Examples
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate C...
Statistical Machine Intelligence & Learning Engine
A curated list of awesome self-supervised methods
A flexible, high-performance serving system for machine learning models
A curated list of data science blogs
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，...
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
TensorFlow documentation
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Open-source offline translation library written in Python
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Hide screen when boss is approaching.
Build local voice agents with open-source models
🧮 A collection of resources to learn mathematics for machine learning
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.