machine-learning

: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

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Techniques for deep learning with satellite & aerial imagery

Build, Manage and Deploy AI/ML Systems

A resource repository for 3D machine learning

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

Data science interview questions and answers

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

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 orchestration, and an agentic workflow for AI agents.

TensorFlow-based neural network library

A unified framework for machine learning with time series

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

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

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 laptop — all through one unified, production-ready inference API.