Pinned Repositories
3D-RetinaNet
3D-RetinaNet a baseline models on ROAD dataset
ad-rss-lib
Library implementing the Responsibility Sensitive Safety model (RSS) for Autonomous Vehicles
AGCRN
Adaptive Graph Convolutional Recurrent Network
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
ALGAMES.jl
ALGAMES solver
Anomaly_Detection_Transformer
Anomaly detection from OS logs using Transformers implemented with Pytorch.
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
Safe-Reinforcement-Learning-Baseline
The repository is for safe reinforcement learning baselines.
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.
trajectoryprediction
Fredtoby's Repositories
Fredtoby/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.
Fredtoby/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Fredtoby/ASTGCN-r-pytorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
Fredtoby/awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
Fredtoby/CarND-Path-Planning-Project
Self-Driving Car Engineer Program: Path Planning Project
Fredtoby/colight
CoLight: Learning Network-level Cooperation for Traffic Signal Control
Fredtoby/conv-social-pooling
Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018
Fredtoby/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Fredtoby/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。
Fredtoby/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Fredtoby/deeprl_signal_control
multi-agent deep reinforcement learning for large-scale traffic signal control.
Fredtoby/flow
Computational framework for reinforcement learning in traffic control
Fredtoby/highD-dataset
Fredtoby/Highway-Traffic-Dynamics-KMD-Code
Fredtoby/MachineLearning
Machine learning resources,including algorithm, paper, dataset, example and so on.
Fredtoby/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Fredtoby/MoSTScenario
Monaco SUMO Traffic (MoST) Scenario
Fredtoby/Multi-Agent-Distributed-PPO-Traffc-light-control
multi agent RL for traffic light control in Sumo using distributed PPO
Fredtoby/ngsim_env
Learning human driver models from NGSIM data with imitation learning.
Fredtoby/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.
Fredtoby/nn_forecasting_baseline
Baselines for motion forecasting using only one vehicle track as input. Tested models are fully connected, convolutional, and LSTM.
Fredtoby/nuscenes-devkit-1
Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)
Fredtoby/Online-Vehicle-Routing-DRL
PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplore.ieee.org/document/8693516
Fredtoby/python_corona_simulation
An agent-based simulation of corona and other viruses in python
Fredtoby/PyVideoResearch
A repository of common methods, datasets, and tasks for video research
Fredtoby/R-C3D.pytorch
R-C3D pytorch implementation
Fredtoby/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Fredtoby/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.
Fredtoby/VehicleCrashRiskPrediction
Modeling vehicle crash data to predict the risk level of getting serious injury
Fredtoby/zhenningli.github.io
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