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/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
Fredtoby/AGCRN
Adaptive Graph Convolutional Recurrent Network
Fredtoby/ALGAMES.jl
ALGAMES solver
Fredtoby/AM-GCN
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Fredtoby/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
Fredtoby/Awesome-Interaction-aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
Fredtoby/awesome-public-datasets
A topic-centric list of HQ open datasets.
Fredtoby/bidireaction-trajectory-prediction
The code for Bi-directional Trajectory Prediction (BiTraP).
Fredtoby/DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
Fredtoby/Detection-of-Traffic-Anomaly
This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.
Fredtoby/DSANet
Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
Fredtoby/fast-transformers
Pytorch library for fast transformer implementations
Fredtoby/interaction-dataset
Interaction Dataset Python Scripts
Fredtoby/interp-e2e-driving
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Fredtoby/kaggle-lyft-motion-pred
Training code for kaggle competition, Lyft Motion Prediction for Autonomous Vehicles
Fredtoby/kaggle-lyft-motion-prediction-av
The 3rd place solution for competition "Lyft Motion Prediction for Autonomous Vehicles" at Kaggle
Fredtoby/KaggleLyftCompetition
Fredtoby/lyft-l5-trajectory-prediction
GRIP++ implementation
Fredtoby/MCTS-NNET
Monte Carlo Tree Search with Reinforcement Learning for Motion Planning
Fredtoby/MPC-MIP
Final project on Trajectory Optimization
Fredtoby/Multiverse
Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.
Fredtoby/NGSIM-tools
This repository collects a set of tools for extracting, visualizing, and simulating Next Generation Simulation (NGSIM) dataset. The tools are originally developed by Stanford Intelligent Systems Laboratory.
Fredtoby/P2T
Code for "Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans" https://arxiv.org/abs/2001.00735
Fredtoby/PiP-Planning-informed-Prediction
(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving
Fredtoby/rl-agents
Implementations of Reinforcement Learning and Planning algorithms
Fredtoby/SC-GAN
Scene-Compliant GAN for Movement Predictions of Traffic Actors (arXiv:2004.06247)
Fredtoby/second.pytorch
SECOND for KITTI/NuScenes object detection
Fredtoby/social-driving
Design multi-agent environments and simple reward functions such that social driving behavior emerges
Fredtoby/stanford-cs230-traffic-sign
Stanford CS 230 Group Project
Fredtoby/Trajectory-Transformer
Code for "Transformer Networks for Trajectory Forecasting"