Hyperparameter tuning for machine learning models using a distributed genetic algorithm

CNN architecture exploration using Genetic Algorithm

Graduation project

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Neural Architecture Search Powered by Swarm Intelligence 🐜

Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.

The codes for the paper of "A particle swarm optimization-based flexible convolutional auto-encoder for image classification" published by TNNLS

Cuda Mangement - multi-process, scheduled jobs, distributed processing

My implementation of solving the Capacitated Vehicle Routing Problem in the paper "Attention, learn to solve routing problems"

full tensorflow implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks https://arxiv.org/abs/1806.02169

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw

Attention based model for learning to solve different routing problems

KMeans-PSO Clustering algorithem base on apache spark

《云计算原理与实践》教材的配套资源

Evolutionary Generative Adversarial Networks (E-GAN)

A Genetic Algorithm Framework in Python (This repo is for learning purpose, NOT production)

Models and examples built with TensorFlow

An Open Source Machine Learning Framework for Everyone

Parallel Particle Swarm Optimizer on the Spark Clustering Computing Platform.

Academic project to optimize neural network hyper parameters.

Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (ICML 2018)

Source code of the SHADE with Iterative Local Search, an algorithm specially designed for for real-parameter optimization with high dimensionalidad (Large-Scale Global Optimization)

A framework for Big Data Optimization with multi-objective metaheuristics

BDA @ FII Iasi Project task - k-means implementations

Conformal Prediction in Scala