H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

large-language-models

Large language Models (LLM)

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

lightautoml

Fast and customizable framework for automatic ML model creation (AutoML)

lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

mlbox

MLBox is a powerful Automated Machine Learning python library.

mlforecast

Scalable machine 🤖 learning for time series forecasting.

mljar-supervised

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

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

nvtabular

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

phoenix

The Evaluation Framework for LLMs

pianosheets

Piano sheets from Kyle Landry, vkgoeswild, Beethoven, Yiruma, Zohar002, etc.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pycaret

An open-source, low-code machine learning library in Python

pytorch-forecasting

Time series forecasting with PyTorch

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