Popular GitHub Repositories for Annealing

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

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

Reinforcement learning assisted analog layout design flow.

Image contrast enhancement via a hybrid of ant colony optimization, genetic algorithm, and simulated annealing

Using Simulated Annealing, Hill Climbing, and Genetic Algorithms to recreate images using shapes ? ?

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

A Python library for variational inference with normalizing flow and annealing

RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms

Quantum Annealing-based Unsupervised Segmentation Algorithm

Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing (NeurIPS 2024)

Simulated annealing for neural networks with JAX.

Bio-Inspired Fossil Image Segmentation for Paleontology

Train an off-the-shelf image segmentation model to respond to user feedback

Metaheuristics feature selection library for machine learning feature selection. Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, and Ant Colony Optimization

In this project, we focus on different ways to optimize a machine learning model parameters.

ALMOST: Adversarial Learning to Mitigate Oracle-less ML Logic Locking Attacks via Synthesis Tuning

Synthetic Depth Data Generation Using Simulated Annealing (on Body Tracking Modality)