fredtoby Goto Github PK

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

am-gcn

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomaly_detection_transformer

Anomaly detection from OS logs using Transformers implemented with Pytorch.

argoverse-api

Official GitHub repository for Argoverse dataset

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-autonomous-vehicle

无人驾驶的资源列表中文版

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awesome-public-datasets

A topic-centric list of HQ open datasets.

bidireaction-trajectory-prediction

The code for Bi-directional Trajectory Prediction (BiTraP).

carnd-path-planning-project

Self-Driving Car Engineer Program: Path Planning Project

cmu-datf

colab

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

deep_intent

Modeling pedestrian and vehicular movement to determine stochastic response to anomalies

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

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[email protected] 版权所有，违权必究 Tan 2018.06

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

designers-learn-git

为设计师而作的GitHub的快速学习教程

detection-of-traffic-anomaly

This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.