156 Open source projects that are alternatives of or similar to Bads

Visualize optimization algorithms in MATLAB.

Implementation of Stochastic Gradient MCMC algorithms

Automated Machine Learning with scikit-learn

Bayesian Optimization in JAX

RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

Sequential Model-based Algorithm Configuration

A tour of different optimization algorithms in PyTorch.

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

Yes, it's a camel case.

🎯 A comprehensive gradient-free optimization framework written in Python

Phoenics: Bayesian optimization for efficient experiment planning

Matlab and Python toolbox for fast Total Variation proximity operators

A toolkit for testing control and planning algorithm for car racing.

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

My workshop on machine learning using python language to implement different algorithms

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @ZJU

An implementation of the paper "A Short Introduction to Boosting"

a distributed Hyperband implementation on Steroids

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

Algorithmic trading strategies

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

A header-only C++ library for numerical optimization --

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

[ICLR 2021] Is Attention Better Than Matrix Decomposition?

A genetic algorithm implementation in python

oj! Algorithms

A JavaScript library to allocate and optimize financial portfolios.

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

Unconstrained function minimization in Javascript

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

Bayesian Optimization of Combinatorial Structures

Tutorial on Bayesian optimization in R

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

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

A toolset for black-box hyperparameter optimisation.

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

ytopt: machine-learning-based search methods for autotuning

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

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

Sequential Gallery for Interactive Visual Design Optimization [SIGGRAPH 2020]

Supported highly optimized and flexible genetic algorithm package for python

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Derivative-Free Optimization Method for Global Optimization (C++)

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

This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.

Neural Networks in Java 8 with CuDNN and Aparapi

Mixed-Integer Parallel Efficient Global Optimization

DFO-GN: Derivative-Free Optimization using Gauss-Newton

Powell's Derivative-Free Optimization solvers

BOPP: Bayesian Optimization for Probabilistic Programs

Dice.com tutorial on using black box optimization algorithms to do relevancy tuning on your Solr Search Engine Configuration from Simon Hughes Dice.com

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)

Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/

Surrogate Optimization Toolbox for Python

A fully decentralized hyperparameter optimization framework

船长关于机器学习、计算机视觉和工程技术的总结和分享

Convex optimization for java and scala, built on Apache Commons Math