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/awesome-autonomous-vehicle
无人驾驶的资源列表中文版
Fredtoby/deep_intent
Modeling pedestrian and vehicular movement to determine stochastic response to anomalies
Fredtoby/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Fredtoby/Designers-Learn-Git
为设计师而作的GitHub的快速学习教程
Fredtoby/docker-sumo
Containerised SUMO. Use sumo, sumo-gui and TraCI with Docker. :whale: :car:
Fredtoby/driving-behavior-risk-prediction.
2018平安产险数据建模大赛 驾驶行为预测驾驶风险
Fredtoby/homepage
My personal website
Fredtoby/NeXTA_4_NGSIM_Trajectory_Visualization
a free and open source tool for visualizing vehicle trajectories using space time diagram
Fredtoby/object_detection_projects
My public projects about object detection algorithms
Fredtoby/opencvtraffic
Fredtoby/Path-planning
Path planning implemented with behavior trees
Fredtoby/PilotNet
A Deep Learning Beginner: Nvidia's End to End Learning on Steering for Self-Driving Cars
Fredtoby/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
Fredtoby/Reinforcement_Learning_for_Traffic_Light_Control
Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.
Fredtoby/SDC-Lane-and-Vehicle-Detection-Tracking
OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars
Fredtoby/shanghai_transportation
上海市交通流量时空模式挖掘
Fredtoby/social-cnn-pytorch
Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture
Fredtoby/Social_lstm_pedestrian_prediction
Modification of the paper "Social LSTM: Human Trajectory Prediction in Crowded Space" with the insertion of a new way to take into account social information and the consideration of the pedestrian goal.
Fredtoby/sumo-rl
A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.
Fredtoby/tctb
Traffic Control Test Bed
Fredtoby/UTM
Fredtoby/w99-demo
Wiedemann 99 Car Following Model Explained.