resuly's repositories
Traffic-3DResnets
The code for "Short-term traffic flow prediction in bike sharing networks"
Traffic4Cast-2021
Codes of 3DResNets and SparseUNet used for NeurIPS Traffic4Cast Competition 2021.
Traffic-Embedding
Codes for "Revealing the hidden features in traffic prediction via entity embedding"
Traffic-Flow-Distribution-with-PHP
动态交通流分配 PHP 版本
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
BasicPythonNeuralNetwork
Only use Numpy to build a basic neural network
crowd-counting-scnn
This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results
Crozzle-Creation
create a valid crozzleuseing .NET C#
cs231n.github.io
Public facing notes page
Deep-learning-with-PyTorch-video
Deep learning with PyTorch, published by Packt
docker
一些常用的 docker 镜像
eviltransform
Transport coordinate between earth(WGS-84) and mars in china(GCJ-02).
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
hackerrank
Hackerrank Exercise
How_to_do_Sentiment_Analysis
This is the code for 'How to Do Sentiment Analysis' #3 - Intro to Deep Learning by Siraj Raval on Youtube
linear_regression_demo
This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube
mapbox-gl-draw-waypoint
Waypoint plugin for Mapbox GL Draw
MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
torchsparse
A high-performance neural network library for point cloud processing.