ihollywhy

DistillGCN.PyTorch

Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20

FactorGCN.PyTorch

Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20

SPAGAN

PyTorch Implement for Path Attention Graph Network

APSP_CUDA

CUDA code for apsp problem

attention-tsp

Attention based model for learning to solve the Travelling Salesman Problem

AttnGAN

Deeplearning.ai-Solutions

Solutions of assignments and translation to Chinese

DeepOcclusion

DeltaCon

The implementation of the algorithm proposed in A Principled Massive-Graph Similarity Function, and improvement of this algorith.

DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

grokking-system-design

Thanks to lirenTu@scale

ihollywhy.github.io

personal website

Intro-to-java-10th-edition-comp271

Java Files

jemdoc

Light text markup for creating websites

LaTeX-examples

Examples for the usage of LaTeX

motld

MyFirstRepo

This is my first github repo

NN-Viterbi

This repo is clone from https://github.com/alexanderrichard/NeuralNetwork-Viterbi

OS_Practice

Five Topics about Operation System

pointnet.pytorch

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

POM

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pyKSP

This is a Python wrapper for the K-Shortest Path tracking algorithm.

pytorch-deep-sets

PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)

rtl8822bu

RTL8822BU Wireless Driver for Linux

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

VIM