All Projects → Gpflowopt → Similar Projects or Alternatives

141 Open source projects that are alternatives of or similar to Gpflowopt

Scikit Optimize
Sequential model-based optimization with a `scipy.optimize` interface
Stars: ✭ 2,258 (+886.03%)
Hyperactive
A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
Stars: ✭ 182 (-20.52%)
Cornell Moe
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Stars: ✭ 198 (-13.54%)
mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Stars: ✭ 34 (-85.15%)
Auto Sklearn
Automated Machine Learning with scikit-learn
Stars: ✭ 5,916 (+2483.41%)
Hpbandster
a distributed Hyperband implementation on Steroids
Stars: ✭ 456 (+99.13%)
syne-tune
Large scale and asynchronous Hyperparameter Optimization at your fingertip.
Stars: ✭ 105 (-54.15%)
Nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Stars: ✭ 10,698 (+4571.62%)
Gradient Free Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Stars: ✭ 711 (+210.48%)
ultraopt
Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。
Stars: ✭ 93 (-59.39%)
Hypertunity
A toolset for black-box hyperparameter optimisation.
Stars: ✭ 119 (-48.03%)
Hyperparameter Optimization Of Machine Learning Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Stars: ✭ 516 (+125.33%)
mango
Parallel Hyperparameter Tuning in Python
Stars: ✭ 241 (+5.24%)
CamelsOptimizer
Yes, it's a camel case.
Stars: ✭ 17 (-92.58%)
differential-privacy-bayesian-optimization
This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"
Stars: ✭ 22 (-90.39%)
hyper-engine
Python library for Bayesian hyper-parameters optimization
Stars: ✭ 80 (-65.07%)
Mlrmbo
Toolbox for Bayesian Optimization and Model-Based Optimization in R
Stars: ✭ 173 (-24.45%)
Bayeso
Simple, but essential Bayesian optimization package
Stars: ✭ 57 (-75.11%)
Smac3
Sequential Model-based Algorithm Configuration
Stars: ✭ 564 (+146.29%)
Sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Stars: ✭ 289 (+26.2%)
Hyperopt.jl
Hyperparameter optimization in Julia.
Stars: ✭ 144 (-37.12%)
Simple
Experimental Global Optimization Algorithm
Stars: ✭ 450 (+96.51%)
Chocolate
A fully decentralized hyperparameter optimization framework
Stars: ✭ 112 (-51.09%)
Gpstuff
GPstuff - Gaussian process models for Bayesian analysis
Stars: ✭ 106 (-53.71%)
Mutual labels:  bayesian-optimization
Tscv
Time Series Cross-Validation -- an extension for scikit-learn
Stars: ✭ 145 (-36.68%)
Talos
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Stars: ✭ 1,382 (+503.49%)
Deep architect
A general, modular, and programmable architecture search framework
Stars: ✭ 110 (-51.97%)
Limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
Stars: ✭ 157 (-31.44%)
Mutual labels:  bayesian-optimization
Hyperopt Keras Cnn Cifar 100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Stars: ✭ 95 (-58.52%)
Cmaes
Python library for CMA Evolution Strategy.
Stars: ✭ 88 (-61.57%)
Deep architect legacy
DeepArchitect: Automatically Designing and Training Deep Architectures
Stars: ✭ 144 (-37.12%)
Xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Stars: ✭ 1,255 (+448.03%)
Hord
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
Stars: ✭ 99 (-56.77%)
Mlmodels
mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Stars: ✭ 145 (-36.68%)
Orion
Asynchronous Distributed Hyperparameter Optimization.
Stars: ✭ 186 (-18.78%)
Bayesian Machine Learning
Notebooks about Bayesian methods for machine learning
Stars: ✭ 1,202 (+424.89%)
Mutual labels:  bayesian-optimization
Milano
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Stars: ✭ 140 (-38.86%)
Determined
Determined: Deep Learning Training Platform
Stars: ✭ 1,171 (+411.35%)
Modal
A modular active learning framework for Python
Stars: ✭ 1,148 (+401.31%)
Mutual labels:  bayesian-optimization
Goptuna
Decentralized hyperparameter optimization framework, inspired by Optuna.
Stars: ✭ 169 (-26.2%)
Mutual labels:  bayesian-optimization
Pbt
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Stars: ✭ 138 (-39.74%)
Mgo
Purely functional genetic algorithms for multi-objective optimisation
Stars: ✭ 63 (-72.49%)
Pysot
Surrogate Optimization Toolbox for Python
Stars: ✭ 136 (-40.61%)
Mutual labels:  bayesian-optimization
Bocs
Bayesian Optimization of Combinatorial Structures
Stars: ✭ 59 (-74.24%)
Mutual labels:  bayesian-optimization
Tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+3558.52%)
Auptimizer
An automatic ML model optimization tool.
Stars: ✭ 166 (-27.51%)
Automl alex
State-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (-42.36%)
Deep traffic
MIT DeepTraffic top 2% solution (75.01 mph) 🚗.
Stars: ✭ 47 (-79.48%)
Ts Emo
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Stars: ✭ 39 (-82.97%)
Mutual labels:  bayesian-optimization
Deeplearning Notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Stars: ✭ 126 (-44.98%)
Mljar Supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (+319.65%)
Rl Baselines3 Zoo
A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.
Stars: ✭ 161 (-29.69%)
Nasbot
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Stars: ✭ 120 (-47.6%)
Mutual labels:  bayesian-optimization
Rl Baselines Zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Stars: ✭ 839 (+266.38%)
Awesome Automl And Lightweight Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Stars: ✭ 691 (+201.75%)
Auto ml
[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (+580.79%)
Test Tube
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Stars: ✭ 663 (+189.52%)
Hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Stars: ✭ 2,110 (+821.4%)
Far Ho
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
Stars: ✭ 161 (-29.69%)
Boml
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
Stars: ✭ 120 (-47.6%)
1-60 of 141 similar projects