klonggan

torch-Video-Tutorials

Light your way in Deep Learning with Torch 🔦

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

two-stream-action-recognition

Using two stream architecture to implement a classic action recognition method on UCF101 dataset

twostreamfusion

Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.

two-stream-pytorch

PyTorch implementation of two-stream networks for video action recognition

multi-object-tracking-paper-list

Paper list and source code for multi-object-tracking

KCFcpp

C++ Implementation of KCF Tracker

morphsnakes

Morphological snakes for image segmentation and tracking

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

torchsample

High-Level Training, Data Augmentation, and Utilities for Pytorch

Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

TuSimple-DUC

Understanding Convolution for Semantic Segmentation

AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

TFSegmentation

RTSeg: Real-time Semantic Segmentation Comparative Study

LadderNet

BiSeNet

BiSeNet based on pytorch

DANet

Dual Attention Network for Scene Segmentation (CVPR2019)

ShelfNet

implementation for paper "ShelfNet for fast semantic segmentation"

TorchSeg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

CCNet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

PANet

PANet for Instance Segmentation and Object Detection

blitznet

Deep neural network for object detection and semantic segmentation in real-time. Official code for the paper "BlitzNet: A Real-Time Deep Network for Scene Understanding"

TernausNetV2

TernausNetV2: Fully Convolutional Network for Instance Segmentation

SEC

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

cervix-roi-segmentation-by-unet

Cascaded-FCN

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

cnn4brca

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis

Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

QUANTAXIS

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

zipline

Zipline, a Pythonic Algorithmic Trading Library