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.

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Implement some metaheuristics and cost functions

Related tags

Overview

Metaheuristics

Metaheuristics

JAYA

Cost functions

References

Owner

Adri1G

Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021

Numerai tournament example scripts using NN and optuna

"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

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A curated list and survey of awesome Vision Transformers.

Lite-HRNet: A Lightweight High-Resolution Network

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ManiSkill-Learn is a framework for training agents on SAPIEN Open-Source Manipulation Skill Challenge (ManiSkill Challenge), a large-scale learning-from-demonstrations benchmark for object manipulation.

SmallInitEmb - LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence

General purpose Slater-Koster tight-binding code for electronic structure calculations

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FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

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ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

eXPeditious Data Transfer

NNR conformation conditional and global probabilities estimation and analysis in peptides or proteins fragments