#Optimization-algorithms
Showing 54 of 54 repositories tagged #optimization-algorithms, ranked by stars
The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
A curated list of awesome links and software libraries that are useful for robots.
A research toolkit for particle swarm optimization in Python
船长关于机器学习、计算机视觉和工程技术的总结和分享
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A header-only C++ library for numerical optimization --
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
🎯 A comprehensive gradient-free optimization framework written in Python
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Image-processing software for cryo-electron microscopy
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
oj! Algorithms
多因子指数增强策略/多因子全流程实现
Unconstrained function minimization in Javascript
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
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.
C++ Large Scale Genetic Programming
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
A JavaScript library to allocate and optimize financial portfolios.
Algorithmic trading strategies
Visualize optimization algorithms in MATLAB.
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
Optimization and inverse design of photonic chips using deep reinforcement learning
Python-based Derivative-Free Optimization with Bound Constraints
Python library for Bayesian hyper-parameters optimization
IVON optimizer for neural networks based on variational learning.
Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
Amos optimizer with JEstimator lib.
This mathematics course is taught for the first year Ph.D. students of computer science and related areas @ZJU
Ray Tracing and Optical Design in Python
EEG-Based Emotion Recognition
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Open Source Library for Automated Optimization of AI Agent Workflows
Harris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' hawks. Widely used in engineering, machine learning, and resource allocation, HHO is renowned for its simplicity, versatility, and effectiveness in finding global optima.
Open souce quantitative finance models and algorithms with tutorials
Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)
An extensible .NET genetic algorithm library for optimization and artificial intelligence - Evolutionary computation and complex problem solving made simple
Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.
A collection of Hyper parameter tuning library.
A statistical computations and ML orientated Python package to predict stock price.
Detection of favorable moments in time series data
This library provides a set of functionalities for different type of deep learning (and ML) algorithms in C
通过反向传播算法实现神经网络和小波神经网络。Implement neural network and wavelet neural network through back-propagation algorithm. Реализация нейронных сетей и вейвлет-нейронных сетей с помощью метода обратного распространения ошибки.
A walkthrough of how to prune keras models, using both weight-pruning and unit/neuron-pruning.
chameleonQuant was born as an open-source Java framework to help enthusiast quants to implement system trading strategies and dynamic portfolio trading systems using advanced optimization techniques, machine learning, and deep learning techniques.
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization (ICML 2024)
Prize-Collecting Traveling Salesman Problem with Time Windows
Ultimate prompt generation, optimization and auditing tool.