{"repo":"google/vizier","free":true,"listed":false,"github":"https://github.com/google/vizier","clone":"git clone https://github.com/google/vizier.git","description":"Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.","language":"Python","stars":1671,"topics":["vizier","hyperparameter-optimization","tuning","tuning-parameters","blackbox-optimization","hyperparameter-tuning","bayesian-optimization","evolutionary-algorithms","distributed-systems","distributed-computing"],"license":"Apache-2.0","category":"api-integrations-sdks","readme_excerpt":"Open Source Vizier: Reliable and Flexible Black-Box Optimization. Google AI Blog Getting Started Documentation Installation Citing and Highlights What is Open Source (OSS) Vizier? OSS Vizier is a Python-based service for black-box optimization and research, based on Google Vizier, one of the first hyperparameter tuning services designed to work at scale. OSS Vizier's distributed client-server system. Animation by Tom Small. Getting Started As a basic example for users, below shows how to tune a simple objective using all flat search space types: Documentation OSS Vizier's interface consists of three main APIs: User API: Allows a user to optimize their blackbox objective and optionally setup a server for distributed multi-client settings. Developer API: Defines abstractions and utilities for implementing new optimization algorithms for research and to be hosted in the service. Benchmarking API: A wide collection of objective functions and methods to benchmark and compare algorithms. Additionally, it contains advanced API for: Tensorflow Probability: For writing Bayesian Optimization algorithms using Tensorflow Probability and Flax. PyGlove: For large-scale evolutionary experimentation and program search using OSS Vizier as a distributed backend. Please see OSS Vizier's ReadTheDocs documentation for detailed information. Installation Quick start: For tuning objectives using our state-of-the-art JAX-based Bayesian Optimizer, run: Advanced Installation Minimal installation: To in","default_branch":null,"files":null,"tree":[],"storefront":"/r/google","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/google/vizier/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}