SmartIdiot's repositories
TrackNPred
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
ASTGCN-r-pytorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
CarND-Path-Planning-Project
Self-Driving Car Engineer Program: Path Planning Project
colight
CoLight: Learning Network-level Cooperation for Traffic Signal Control
conv-social-pooling
Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
deeprl_signal_control
multi-agent deep reinforcement learning for large-scale traffic signal control.
flow
Computational framework for reinforcement learning in traffic control
MachineLearning
Machine learning resources，including algorithm, paper, dataset, example and so on.
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
MoSTScenario
Monaco SUMO Traffic (MoST) Scenario
Multi-Agent-Distributed-PPO-Traffc-light-control
multi agent RL for traffic light control in Sumo using distributed PPO
ngsim_env
Learning human driver models from NGSIM data with imitation learning.
NightPedestrianDetection
Project on pedestrian detection at night with deep learning for the Research Methodology and Scientific Writing course, Autumn 2019, by Simone Zamboni and Olivier Nicolini.
nn_forecasting_baseline
Baselines for motion forecasting using only one vehicle track as input. Tested models are fully connected, convolutional, and LSTM.
nuscenes-devkit-1
Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)
Online-Vehicle-Routing-DRL
PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplore.ieee.org/document/8693516
python_corona_simulation
An agent-based simulation of corona and other viruses in python
PyVideoResearch
A repository of common methods, datasets, and tasks for video research
R-C3D.pytorch
R-C3D pytorch implementation
T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
VehicleCrashRiskPrediction
Modeling vehicle crash data to predict the risk level of getting serious injury
zhenningli.github.io
Z's Blog