Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
-
Updated
May 10, 2024 - Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
🐟Tunny🐟 is Grasshopper's optimization component using Optuna, an open source hyperparameter auto-optimization framework.
Real-time Web Dashboard for Optuna.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Open Source version of SigOpt API, performing hyperparameter optimization and visualization
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
A hyperparameter optimization framework
Examples for https://github.com/optuna/optuna
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
Framework of intelligent optimization methods iOpt
Fast and Accurate ML in 3 Lines of Code
Hyperparameter optimization package of the mlr3 ecosystem
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Add a description, image, and links to the hyperparameter-optimization topic page so that developers can more easily learn about it.
To associate your repository with the hyperparameter-optimization topic, visit your repo's landing page and select "manage topics."