Statsforecast alternatives for AI agents.

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

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

Time series forecasting with PyTorch

Data science interview questions and answers

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.

🏅 Collection of Kaggle Solutions and Ideas 🏅

Statistical Machine Intelligence & Learning Engine

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)

TensorFlow-based neural network library

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.

Deep universal probabilistic programming with Python and PyTorch