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)
:speech_balloon: Machine Learning Course with Python:
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Largest list of models for Core ML (for iOS 11+)
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
The Open Source Feature Store for AI/ML
An open source library for deep learning end-to-end dialog systems and chatbots.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows. Flyte 2 now available locally: https://github.com...
AI + Data, online. https://vespa.ai
Reading list for research topics in multimodal machine learning
Flower: A Friendly Federated AI Framework
A log of things I'm learning
AI实战-practicalAI 中文版
Fit interpretable models. Explain blackbox machine learning.
A Flexible and Powerful Parameter Server for large-scale machine learning
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.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in...
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
🎓 Sharing machine learning course / lecture notes.
Natural Language Processing Best Practices & Examples
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Instant Kubernetes-Native Application Observability
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate C...
🏅 Collection of Kaggle Solutions and Ideas 🏅
A curated list of awesome self-supervised methods
Statistical Machine Intelligence & Learning Engine
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，...
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 curated list of data science blogs
A flexible, high-performance serving system for machine learning models
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
TensorFlow documentation
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
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]
Hide screen when boss is approaching.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Code for Tensorflow Machine Learning Cookbook
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Matlab code of machine learning algorithms in book PRML
A list of useful Java frameworks, libraries, software and hello worlds examples
⚡ TabPFN: Foundation Model for Tabular Data ⚡
A scikit-learn compatible neural network library that wraps PyTorch
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Swift for TensorFlow