dh836882552

dh836882552's Stars

• intLyc/MTO-Platform

  Multitask Optimization Platform (MToP): A MATLAB Optimization Platform for Evolutionary Multitasking

  Language:MATLAB12127

• isl-org/MultiObjectiveOptimization

  Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

  Language:Python981171

• erap129/nsga_net

  NSGA-Net, a Neural Architecture Search Algorithm

  Language:Python1

• xuanhungho/nsga

  Language:Python8

• ianwhale/nsga-net

  NSGA-Net, a Neural Architecture Search Algorithm

  Language:Python26479

• anyoptimization/pymoo

  NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

  Language:Python2.3k389

• google-research/nasbench

  NASBench: A Neural Architecture Search Dataset and Benchmark

  Language:Python683129

• ngctnnnn/RN-MuOENAS

  A demo React Native app for Multi-objective Evolutionary Neural Architecture Search

  Language:Python5

• EMI-Group/evoxbench

  Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.

  Language:Python8916

• ELO-Lab/MOENAS-TF-PSI

  Language:Python42

• mikelzc1990/nsganetv2

  [ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

  Language:Python15034

• chakkritte/EEEA-Net

  EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

  Language:Python164

• benchenas/BenchENAS

  BenchENAS is a platform to help researchers conduct fair comparisons upon Evolutionary algorithm based Neural Architecture Search (ENAS) algorithms.

  Language:Python135

• alexMyG/EvoDeep

  EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation

  Language:Python81

• samggggflynn/image-stitching-opencv

  使用Python-OpenCV对多张图片进行全景图像拼接，消除鬼影，消除裂缝。

  Language:Python14820

• Time9Y/Matlab-Machine

  Language:MATLAB735144

• ZhiqingXiao/pytorch-book

  Source codes for the book "Application of Neural Network and PyTorch"

  Language:Jupyter Notebook15566