Kaggle Solutions alternatives for AI agents.

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

Time series forecasting with PyTorch

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

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

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.

Statistical Machine Intelligence & Learning Engine

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

A system for quickly generating training data with weak supervision

An Engine-Agnostic Deep Learning Framework in Java

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

Data science interview questions and answers

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

TensorFlow-based neural network library

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

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.