Visualisation of Simulated Annealing algorithm to solve TSP

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

Simulated Annealing with Modern Fortran

Sawatabi is an application framework to develop and run stream-data-oriented Ising applications with quantum annealing.

A Python library for variational inference with normalizing flow and annealing

🔵 QUBO Annealing & Sampling MOI Interfaces

Feature Selection using Simulated Annealing

A simple pytorch implementation for calculating VAE loss components and annealing KLD loss while training VAEs, especially RNN-based

Testing a bunch of graph minor embedding heuristics.

A web visualization of the Simulated Annealing algorithm, applied to clustering.

TSP solver using temperature parallel simulated annealing.

Module to simulate the specific heat signature of glasses with a specified thermal treatment following the Tool-Narayanaswamy-Moynihan (TNM) model

A C++ implementation of simulated annealing for the Ising perceptron.

A multi-threaded Simulated Annealing core in C

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

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

Annealing for Tank AI

Hardware/Software Partitioning for FFT Algorithm

Algorithm for computing the optimal transmission powers in a synchronous queued RFID network