124 Open source projects that are alternatives of or similar to Deep-Learning-Optimization-Algorithms

Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.

PyTorch implementations of recent optimization algorithms for deep learning.

Semidefinite programming optimization solver

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

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

🎯 A comprehensive gradient-free optimization framework written in Python

🛍️RetailBox - eCommerce Recommender System using Machine Learning

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

A curated list of awesome links and software libraries that are useful for robots.

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

A metaheuristic optimization framework

An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

Implementation of Variational Quantum Factoring algorithm.

모두를 위한 컨백스 최적화

Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.

Exploiting Explainable Metrics for Augmented SGD [CVPR2022]

Python library for Bayesian hyper-parameters optimization

A parallel branch-and-bound engine for Python. (https://pybnb.readthedocs.io/)

Seminars on optimization methods for DIHT MIPT

Reinforcement learning with A* and a deep heuristic

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

FlexBox is a fexible MATLAB toolbox for finite dimensional convex variational problems in image processing and beyond.

Image-processing software for cryo-electron microscopy

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

Visualize Tensorflow's optimizers.

Análisis numérico y cómputo científico

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

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

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

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

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

🔌⚡ Nuxt module to prune html before sending it to the browser (it removes elements matching CSS selector(s)), useful for boosting performance showing a different HTML for bots/audits by removing all the scripts with dynamic rendering

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

Information Retrieval in High Dimensional Data (class deliverables)

Visualize optimization algorithms in MATLAB.

A course on Optimization Methods

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

oj! Algorithms

Powell's Derivative-Free Optimization solvers

C++ solvers for Minimum Cost Flow Problems

GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

A research toolkit for particle swarm optimization in Python

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 Genetic Algorithm Framework in Python

Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python programming codes to solve numerous problems of Optimization including Travelling Salesman, Minimum Spanning Tree and so on.

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

Functional models and algorithms for sparse signal processing

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

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

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

simobility - light-weight mobility simulation framework. Best for quick prototyping

The Operator Splitting QP Solver

Source code for the examples accompanying the paper "Learning convex optimization control policies."

ROS-compatible Eigen-based Goldfarb-Idnani quadratic programming solver

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

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.

Matlab library for gradient descent algorithms: Version 1.0.1