DAVIDNEWGATE

Project

Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery

roi-pooling

cifar-10-cnn

Using cifar-10 datasets to learn deep learning.

courses

fast.ai Courses

DFL-CNN

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

DSB2017

The solution of team 'grt123' in DSB2017

Efficient-Deep-Learning

Related Paper of Efficient Deep Neural Networks

Incremental-Network-Quantization

Caffe Implementation for Incremental network quantization

ML_Decoder

Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)

models

Models built with TensorFlow

pytorch-cifar

95.16% on CIFAR10 with PyTorch

README

README文件语法解读，即Github Flavored Markdown语法介绍

SENet

Squeeze-and-Excitation Networks