Eason-hee

Deep-Multi-agent-Reinforcement-Learning-for-Highway-On-Ramp-Merging

simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

MADDPG

Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

MARL_CAVs

MARL for Autonomous Vehicles

daily_reminder

微信公众号全自动每日推送（先看README.md里的内容）

wechat-public-account-push

微信公众号推送-给女朋友的浪漫

Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks

NIPS2018 paper

transdim

Machine learning for transportation data imputation and prediction.

E2EGAN

osm_mapmatching

A tutorial on map matching using OpenStreetMap data

pytorch-GAN-timeseries

GANs for time series generation in pytorch

KDEpy

Kernel Density Estimation in Python

GA_atsp

An implementation of a GA to solve the Asymmetric Traveling Salesman Problem

Self_Driving_Car_specialization

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

TD3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

KDDCup2021-CityBrainChallenge-starter-kit

kddcup2021CBCBingo

City_Brain_TSC

kddcup2021_citybrain

PSNR_SSIM_in_matlab

MATSim-UAM

Extension for MATSim to allow for the inclusion of aerial passenger-carrying vehicles, i.e. a station- and network-bound transport mode that requires station access and egress trips with conventional ground-based modes.

Pytorch-Knowledge

给非计算机专业人士的Pytorch快速学习指南｜A quick guide to learning Pytorch for non-computer professionals

RL_platoon

Crown's daily use codes snippers

dqn-adaptive-cruise

Thesis Project: Apply Deep Q-Network to develop an Adaptive Cruise Control and Lane Control agent.

DDPG_Learning

A study code for HEVs eco-driving control

RL_Final_Project

"Adaptive Cruise Control for a Hybrid Vehicle with Deep Policy Gradients". Final project for ECE 517/414 Reinforcement Learning.

vehicle-counting

Vehicle counting using Pytorch

Traffic-Vehicle-Detection

Traffic vehicle tracking and counting. Ingredients: YOLOv5s + DeepSORT.

hisafety

deepsort + yolov3 + velocity-tracker

Yolov5-Deepsort

最新版本yolov5+deepsort目标检测和追踪，能够显示目标类别，支持5.0版本可训练自己数据集