xcessiv by reiinakano
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
created at March 7, 2017, 6:18 p.m.
Gadfly.jl by GiovineItalia
Crafty statistical graphics for Julia.
created at Aug. 6, 2012, 8:46 p.m.
tch-rs by LaurentMazare
Rust bindings for the C++ api of PyTorch.
created at Feb. 16, 2019, 9:08 p.m.
mljar-supervised by mljar
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
created at Nov. 5, 2018, 12:58 p.m.
machine-learning-octave by trekhleb
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
created at Oct. 19, 2018, 9:02 a.m.
m2cgen by BayesWitnesses
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
created at Jan. 13, 2019, 2:32 a.m.
ViZDoom by Farama-Foundation
Reinforcement Learning environments based on the 1993 game Doom 
created at June 26, 2015, 6:38 p.m.
torch-autograd by twitter-archive
Autograd automatically differentiates native Torch code
created at Oct. 6, 2015, 2:51 p.m.
big_data_for_chimps by infochimps-labs
A Seriously Fun guide to Big Data Analytics in Practice
created at March 17, 2012, 1:30 a.m.
evidently by evidentlyai
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
created at Nov. 25, 2020, 3:20 p.m.