AI Agent Skills

Provide an input CSV and a target field to predict, generate a model + code to run it.

An open-source AutoML Library based on PyTorch

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

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

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…

Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Communit…

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

AutoML library for deep learning

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal ha…

Bayesian Optimization and Design of Experiments

Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.

Generate A/B test variants for affiliate content. Triggers on: "create A/B test", "test my headline", "optimize my CTA", "generate variants", "split test ideas", "improv…

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in…

🦉 Data Versioning and ML Experiments