zhenhuixiang Goto Github PK
Name: nafeng
Type: User
Company: China university of geoscience
Bio: Evolutionary Computation and Surrogate-based Optimization
Location: Wuhan
Blog: weibo.com/zhenhx
Name: nafeng
Type: User
Company: China university of geoscience
Bio: Evolutionary Computation and Surrogate-based Optimization
Location: Wuhan
Blog: weibo.com/zhenhx
Automated deep learning algorithms implemented in PyTorch.
A curated list of deep learning image classification papers and codes
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
A curated list of awesome resources combining Transformers with Neural Architecture Search
A paper list of object detection using deep learning.
The notes of Adrew Ng's coursera course: deeplearning.ai. Glad to answer any related questions, just email me.
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
A neural architecture search benchmark without requirements of GPUs or PyTorch/TensorFlow
Global Transonic Airfoil Optimization
IFE-2017
A list of Medical imaging datasets.
Please do not feed the models
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Physical Symbolic Optimization
The official implementation of RelativeNAS
Surrogate Based Design Optimization Toolbox
Code for surrogate-assisted hierarchical particle swarm optimization
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).
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.