916 Open source projects that are alternatives of or similar to Mlrmbo

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Hyperparameter optimization in Julia.

Easy Hyper Parameter Optimization with mlr and mlrMBO.

Sequential model-based optimization with a `scipy.optimize` interface

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

Experimental Global Optimization Algorithm

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

A fully decentralized hyperparameter optimization framework

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

🦅Hyperparameter optimization for machine learning pipelines 🦅

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Automated Machine Learning with scikit-learn

Python code for bayesian optimization using Gaussian processes

Bayesian Optimization using GPflow

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Python library for Bayesian hyper-parameters optimization

Yes, it's a camel case.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Parallel Hyperparameter Tuning in Python

a distributed Hyperband implementation on Steroids

A Python implementation of global optimization with gaussian processes.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Simple, but essential Bayesian optimization package

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

Hyperparameter optimization package of the mlr3 ecosystem

Sequential Model-based Algorithm Configuration

A toolset for black-box hyperparameter optimisation.

Surrogate Optimization Toolbox for Python

🦐 Electromagnetic Simulation + Automatic Differentiation

Portable, light-weight data frame to xlsx exporter for R

Detect text reuse and document similarity

Online video stabilization using a novel MeshFlow motion model

Discrete-Event Simulation for R

svg path sorter for more efficient (pen)plotting.

Local, global, and beyond optimization for scientific machine learning (SciML)

Collection of helpful utilities we use in our Unity projects.

On-device Neural Engine

Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

talk with NCBI entrez using R

Squid – type-safe metaprogramming and compilation framework for Scala

Decentralized hyperparameter optimization framework, inspired by Optuna.

Access v8 Engine Natives easily in Chrome & Node

The Fastest DNN Running Framework on Web Browser

Download ⬇️ Qualtrics survey data directly into R!

Fast, Consistent Tokenization of Natural Language Text

Predict Gender from Names Using Historical Data

COSMO: Accelerated ADMM-based solver for convex conic optimisation problems (LP, QP, SOCP, SDP, ExpCP, PowCP). Automatic chordal decomposition of sparse semidefinite programs.

A CLI React performance optimization tool that identifies potential unnecessary re-rendering

R package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit

Command-line control panel for Nginx Server to manage WordPress sites running on Nginx, PHP, MySQL, and Let's Encrypt

🗯️ Easily create pretty popup messages (modals) in Shiny

EvalML is an AutoML library written in python.

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

R bindings to the libgit2 library