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

This is a project based on ConvNets used to identify whether a road is clean or dirty. We have used MobileNet as our base architecture and the weights are based on imagenet.

UnpNet - Rethinking 3-D LiDAR Point Cloud Segmentation(IEEE TNNLS)

The Python3 import playground

Orchestrating Distributed Materials Acceleration Platform Tutorial

Vision Deep-Learning using Tensorflow, Keras.

Code for 'Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning' (AAAI 2022)

MINOS: Multimodal Indoor Simulator

Implementation of the paper "Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning"

performing moving objects segmentation using image processing techniques with opencv and numpy

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

Global Filter Networks for Image Classification

《Truly shift-invariant convolutional neural networks》(2021)

Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation

Fine-Tune EleutherAI GPT-Neo to Generate Netflix Movie Descriptions in Only 47 Lines of Code Using Hugginface And DeepSpeed

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PyTorch implementation of Off-policy Learning in Two-stage Recommender Systems

Reaction SMILES-AA mapping via language modelling