Pinned Repositories
Awesome-Crime-Prediction
crime prediction paper lists
Awesome-Interaction-Aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
Awesome-Trajectory-Motion-Prediction-Papers
Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
BasicTS
An Open Source Standard Time Series Forecasting Benchmark.
darts
A python library for user-friendly forecasting and anomaly detection on time series.
DL4Traffic
This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
DRL-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
VCM
NoahWangc's Repositories
NoahWangc/Awesome-Crime-Prediction
crime prediction paper lists
NoahWangc/Awesome-Interaction-Aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
NoahWangc/Awesome-Trajectory-Motion-Prediction-Papers
NoahWangc/Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
NoahWangc/BasicTS
An Open Source Standard Time Series Forecasting Benchmark.
NoahWangc/darts
A python library for user-friendly forecasting and anomaly detection on time series.
NoahWangc/DL4Traffic
This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
NoahWangc/DRL-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
NoahWangc/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
NoahWangc/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
NoahWangc/GroupNet
[CVPR22] GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning
NoahWangc/HeadedSocialForceModel
NoahWangc/HighwayEnv
A minimalist environment for decision-making in autonomous driving
NoahWangc/jindongwang.github.io
Personal website
NoahWangc/luckyfan-cs.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
NoahWangc/MANTRA-CVPR20
Official Pytorch code for MANTRA - Memory Augmented Neural Trajectory Predictor (CVPR2020)
NoahWangc/MFSTGN
NoahWangc/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
NoahWangc/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
NoahWangc/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
NoahWangc/socialforce
Differentiable Social Force simulation with universal interaction potentials.
NoahWangc/Spatio-Temporal-Data-Mining-Survey
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
NoahWangc/SSTBAN
NoahWangc/STEP
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
NoahWangc/STGCL
NoahWangc/Time-Series-Library
A Library for Advanced Deep Time Series Models.
NoahWangc/traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
NoahWangc/Trajectroy_Prediction
NoahWangc/trajnetplusplusbaselines
[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
NoahWangc/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.