ML
A curated list of awesome Machine Learning frameworks, libraries and software.
Fit interpretable models. Explain blackbox machine learning.
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 comp…
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Real-time Web Dashboard for Optuna.
Header-only C++/python library for fast approximate nearest neighbors
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Scikit-learn compatible estimation of general graphical models
Repository for "Fitting a Kalman Smoother to Data"
ModelFox makes it easy to train, deploy, and monitor machine learning models.
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
A Python toolbox for performing gradient-free optimization
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Python implementations of the Boruta all-relevant feature selection method.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications