nafeng's repositories
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
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.
deeplearning.ai-2
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
Evolutionary-Reinforcement-Learning
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
evoxbench
A neural architecture search benchmark without requirements of GPUs or PyTorch/TensorFlow
GlobalTransonicAirfoilOptimization--
Global Transonic Airfoil Optimization
medical-imaging-datasets
A list of Medical imaging datasets.
model-zoo
Please do not feed the models
nsganetv2
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
PhySO
Physical Symbolic Optimization
RelativeNAS
The official implementation of RelativeNAS
SBDOT
Surrogate Based Design Optimization Toolbox
SHPSO_code
Code for surrogate-assisted hierarchical particle swarm optimization
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).
TENAS
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang