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angular-penalty-softmax-losses-pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

caffe

Caffe: a fast open framework for deep learning.

caffe-mobilenet_v2

caffe based mobilenet v2 deploy

caffe-road

caffe-wrn-generator

Caffe Wide-Residual-Network (WRN) Generator

deep-residual-networks

Deep Residual Learning for Image Recognition

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

djitracking

enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faster-rcnn-

faster-rcnn-resnet

ResNet Implementation for Faster-rcnn

imagenet-download

Python scripts to download imagenet images and pre-proccess them

inference_jetson-inference-batch

Batch inference version of Jetson-inference, to run several images recognition on TX1/2 and PC at the same time to save time

light-weight-refinenet

Light-Weight RefineNet for Real-Time Semantic Segmentation

mobilenet-v2-caffe

MobileNet-v2 experimental network description for caffe

mobilenetv2

neuralnlp-neuralclassifier

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

python-caffe-custom-cifar-100-conv-net

Custom convolutional neural network on cifar-100 dataset for image classification. Images and their labels are processed to HDF5 data format for use in Caffe.

pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

pytorchviz

A small package to create visualizations of PyTorch execution graphs

resnet-18-caffemodel-on-imagenet

ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%

rrpn-revise

senet

Squeeze-and-Excitation Networks

shufflenet

This is a fast caffe implementation of ShuffleNet.

test

test-caffe

make sure be able save the change of the code

tutorials

PyTorch tutorials.

vim

vim配置文件和插件

vitae

The official pytorch implementation of ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias