Find the right skill for the job your agent is doing.

Data science interview questions and answers

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.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

A unified framework for machine learning with time series

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.

Containers for machine learning

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

Effortless data labeling with AI support from Segment Anything and other awesome models.

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.

ML.NET is an open source and cross-platform machine learning framework for .NET.

Deep universal probabilistic programming with Python and PyTorch

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Instant Kubernetes-Native Application Observability

🏅 Collection of Kaggle Solutions and Ideas 🏅

Statistical Machine Intelligence & Learning Engine

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

A scikit-learn compatible neural network library that wraps PyTorch

A machine learning software for extracting information from scholarly documents

Time series forecasting with PyTorch

Build local voice agents with open-source models

An Engine-Agnostic Deep Learning Framework in Java

Lightning ⚡️ fast forecasting with statistical and econometric models.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

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

On-device AI across mobile, embedded and edge for PyTorch

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

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.

TensorFlow documentation

A list of useful Java frameworks, libraries, software and hello worlds examples