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a-dgl-implementation-for-gn-graph-network-framework-

brain-tokyo-workshop

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chexpert

Multi-label, multi-class classification of chest X-ray images using PyTorch

coordattention

Code for our CVPR2021 paper coordinate attention

eeea-net

EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

ese-nas

google-research

Google Research

graph_nets_pytorch

Graph Nets (GN) implement by pytorch

mfc_exp

计算机图形学实验

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI

models

Models and examples built with TensorFlow

mysql-experiment

数据库实验

nsganetv1

pnas-binarized-neural-networks

Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.

progressive-neural-architecture-search

Implementation of Progressive Neural Architecture Search in Keras and Tensorflow

pysr

High-Performance Symbolic Regression in Python

self-attention-cv

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

super-brain-weight-agnostic-neural-networks-1

Weight Agnostic Neural Networks (in Python)

symbolic_deep_learning

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

tinyhttpd

Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

webserver

Uubuntu 20 C++版本的web服务器

webserver-1

A C++ High Performance Web Server

weightagnostic.github.io

repo for interactive article