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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

ai-chip

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

awesome-background-subtraction

A curated list of background subtraction related papers and resources

bgscnn

Background subtraction using deep learning method.

c3d-pytorch

Pytorch porting of C3D network, with Sports1M weights

c3d_pytorch

Simple C3D (3D convolutional Network) in Pytorch

chrome-power-app

The first open source fingerprint browser.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

deeplabv3_mobilenetv2_pytorch

A PyTorch Implementation of MobileNetv2+DeepLabv3

dropblock-pytorch

Implementation of DropBlock in Pytorch

fgsegnet

FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

fgsegnet_v2

FgSegNet_v2: "Learning Multi-scale Features for Foreground Segmentation.” by Long Ang LIM and Hacer YALIM KELES

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

hello-world

learning how to use github

ioekg

Config files for my GitHub profile.

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

medoidshift-and-quickshift

Python implementation of Medoidshift and Quickshift algorithms

mobilenetv2-pytorch

Impementation of MobileNetV2 in pytorch

movingobjectsegmentation

pdftodocx

把用ucasthesis模板撰写的毕业论文转化为知网可以识别的word文件

pseudo-3d-pytorch

pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported

pytorch-deeplab

DeepLab-ResNet rebuilt in Pytorch

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

pytorch-video-recognition

PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

pytorch_c3d_feature_extractor

Pytorch C3D feature extractor

quickshift

A clustering algorithm that first finds the high-density regions (cluster-cores) of the data and then clusters the remaining points by hill-climbing. Such seedings act as more stable and expressive cluster-cores than the singleton modes found by popular algorithm such as mean shift. (https://arxiv.org/abs/1805.07909)