zhenhuixiang
Evolutionary Computation and Surrogate-based Optimization
China university of geoscienceWuhan
Pinned Repositories
askCUGer
AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
awesome-image-classification
A curated list of deep learning image classification papers and codes
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
awesome-transformer-search
A curated list of awesome resources combining Transformers with Neural Architecture Search
DDEA
deep_learning_object_detection
A paper list of object detection using deep learning.
deeplearning.ai
The notes of Adrew Ng's coursera course: deeplearning.ai. Glad to answer any related questions, just email me.
deeplearning.ai-1
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
zhenhuixiang.github.io
zhenhuixiang's Repositories
zhenhuixiang/askCUGer
zhenhuixiang/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
zhenhuixiang/awesome-image-classification
A curated list of deep learning image classification papers and codes
zhenhuixiang/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
zhenhuixiang/awesome-transformer-search
A curated list of awesome resources combining Transformers with Neural Architecture Search
zhenhuixiang/DDEA
zhenhuixiang/deep_learning_object_detection
A paper list of object detection using deep learning.
zhenhuixiang/deeplearning.ai
The notes of Adrew Ng's coursera course: deeplearning.ai. Glad to answer any related questions, just email me.
zhenhuixiang/deeplearning.ai-1
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
zhenhuixiang/deeplearning.ai-2
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
zhenhuixiang/Evolutionary-Reinforcement-Learning
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
zhenhuixiang/zhenhuixiang.github.io
zhenhuixiang/evoxbench
A neural architecture search benchmark without requirements of GPUs or PyTorch/TensorFlow
zhenhuixiang/GlobalTransonicAirfoilOptimization--
Global Transonic Airfoil Optimization
zhenhuixiang/IFE-2017
IFE-2017
zhenhuixiang/medical-imaging-datasets
A list of Medical imaging datasets.
zhenhuixiang/ML-algorithms-implemetation
zhenhuixiang/model-zoo
Please do not feed the models
zhenhuixiang/nap-cug
zhenhuixiang/nsganetv2
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
zhenhuixiang/PhySO
Physical Symbolic Optimization
zhenhuixiang/RelativeNAS
The official implementation of RelativeNAS
zhenhuixiang/SBDOT
Surrogate Based Design Optimization Toolbox
zhenhuixiang/SHPSO_code
Code for surrogate-assisted hierarchical particle swarm optimization
zhenhuixiang/snake
zhenhuixiang/snakesRank
zhenhuixiang/surrogate-cmaes
Surrogate CMA-ES (S-CMA-ES and DTS-CMA-ES) is a surrogate-based optimizing evolution strategy. It is based on the N. Hansen's CMA-ES algorithm which is interconnected with Gaussian processes (or random forests, that are, however, not maintained here anymore).
zhenhuixiang/TENAS
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
zhenhuixiang/test-ssh
zhenhuixiang/TransferLearning-Tasks