Machinelearning alternatives for AI agents.

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！

TensorFlow-based neural network library

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

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 python library for user-friendly forecasting and anomaly detection on time series.

A flexible, high-performance serving system for machine learning models

A scikit-learn compatible neural network library that wraps PyTorch

An Engine-Agnostic Deep Learning Framework in Java

Relax! Flux is the ML library that doesn't make you tensor

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

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

A unified framework for machine learning with time series

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.

Containers for machine learning