Implement some metaheuristics and cost functions

Last update: Mar 23, 2022

Related tags

Deep Learning metaheuristics

Overview

Metaheuristics

This repot implement some metaheuristics and cost functions.

Metaheuristics

JAYA

Implement Jaya optimizer without constraints.

Cost functions

Himmelblau's function Himmelblau.png

References

[1]R. Venkata Rao, Jaya: An Advanced Optimization Algorithm and its Engineering Applications. Cham: Springer International Publishing, 2019. doi: 10.1007/978-3-319-78922-4.

[2]Wikipedia contributors, « Test functions for optimization », Wikipedia, The Free Encyclopedia., juin 27, 2021. https://en.wikipedia.org/w/index.php?title=Test_functions_for_optimization&oldid=1030693803 (consulté le oct. 01, 2021).

Owner

Adri1G

PhD student LS2N & Centrale Nantes. Interested in smart grids, embedded systems, electronics, Eurobot/ Coupe de Robotique and beautiful algorithms.

GitHub Repository

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Implement some metaheuristics and cost functions

Related tags

Overview

Metaheuristics

Metaheuristics

JAYA

Cost functions

References

Owner

Adri1G

"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8

The Dual Memory is build from a simple CNN for the deep memory and Linear Regression fro the fast Memory

A Pytorch implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE

a reimplementation of Holistically-Nested Edge Detection in PyTorch

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects (CVPR 2021)

Uni-Fold: Training your own deep protein-folding models

Code for our CVPR 2021 paper "MetaCam+DSCE"

PFFDTD is an open-source FDTD simulator for 3D room acoustics

Chinese clinical named entity recognition using pre-trained BERT model

[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.

Using deep actor-critic model to learn best strategies in pair trading

The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.

This is an official implementation for "PlaneRecNet".

Official PyTorch repo for JoJoGAN: One Shot Face Stylization

Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

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Torchreid: Deep learning person re-identification in PyTorch.