ioekg

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

c3d-pytorch

Pytorch porting of C3D network, with Sports1M weights

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

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)

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.

shadowrocket-config

Shufflenet-v2-Pytorch

Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).

TFSegmentation

RTSeg: Real-time Semantic Segmentation Comparative Study

ucasthesis

[最新样式] **科学院大学学位论文 LaTeX 模板 LaTeX Thesis Template for the University of Chinese Academy of Sciences

v2ray

这是一个固定使用 Caddy v1.0.4 和 V2Ray v4.27.0 的 233一键脚本 v3.34

V2Ray_h2-tls_Website_onekey

V2RAY 基于 CADDY 的 VMESS+H2+TLS+Website(Use Host)+Rinetd BBR 一键安装脚本

V2Ray_ws-tls_bash_onekey

V2Ray Nginx+vmess+ws+tls/ http2 over tls 一键安装脚本

v2rayDocker

一键v2ray ws + tls 方便就完事了

video-classification-3d-cnn-pytorch

Video classification tools using 3D ResNet

welcome_tutorials

Various tutorials given for welcoming new students at MILA.