ShichaoJin

shadowsocksRss

shadowsocksR backup, windows / android / mac downloads, source code backup

GHM_Detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

pointconv

3D-point-capsule-networks

3D Point Capsule Networks

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

GNNPapers

Must-read papers on graph neural networks (GNN)

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

DANet

Dual Attention Network for Scene Segmentation (CVPR2019)

HomeMirror

Android application powering the mirror in my house

PlotNeuralNet

Latex code for making neural networks diagrams

Shadowrocket

Shadowrocket without $2.99

Shadowrocket-ADBlock-Rules

提供多款 Shadowrocket 规则，带广告过滤功能。用于 iOS 未越狱设备选择性地自动翻墙。

dtwSat

Time-Weighted Dynamic Time Warping for satellite image time series analysis

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

deep_learning_for_camera_trap_images

This repo contains code+pre-trained models for extracting information from camera-trap images. The pre-trained models have been trained on the Snapshot Serengeti dataset.

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

pointSIFT

a module for 3D semantic segmentation in point clouds.

pointnet2.pytorch

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

TernausNetV2

TernausNetV2: Fully Convolutional Network for Instance Segmentation

DeepSets

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

faster_rcnn_pytorch

Faster RCNN with PyTorch

SSRN

This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".

deepsensing

A set of scripts to perform remote sensing image analysis using deep learning

DeepSatelliteData

List of labelled remote sensing datasets for use in deep learning.

CNN_UCMerced-LandUse_Caffe

Based on the deep learning framework (Caffe), the classification of the optical remote sensing image UCMerced LandUse dataset was completed.

How-to-Predict-Stock-Prices-Easily-Demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

How_to_make_a_tensorflow_image_classifier_LIVE