mlp topic

4 small homeworks

Trinkle23897

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

whyisyoung

A resource-conscious neural network implementation for MCUs

GiorgosXou

[ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"

ShoufaChen

TensorFlow template application for deep learning

tobegit3hub

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

zhengyima

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

omerbsezer

The deeplearning algorithms implemented by tensorflow

xiaohu2015

A C# port of shadowsocks

shadowsocks

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

BR-IDL

Lightning fast C++/CUDA neural network framework

NVlabs