jiamiya Goto Github PK

car

carnd-path-planning-project

My solution to the Udacity Self-Driving Car Engineer Nanodegree Path Planning Project.

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

drone-dataset-tools

The goal of this repo is to make the inD dataset as easy to use as possible. For this purpose we provide source code in Python, which allows the import and visualization of the dataset.

gail-auto-driving

pytorch-implementation of imitation learning for autonomous driving using GAIL（fork from Rk He）

highd-dataset

hope

Reinforcement Learning-based Hybrid Policy Path Planning in Diverse Parking Scenarios

hybrid-a-star

Hybrid A* Motion Planner for a Car using kinematic & Reeds-Shepp Model

imitating-learning-on-smarts

Implement GAIL on SMARTS

interfuser

[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

leaderboard

CARLA Autonomous Driving leaderboard

linkprediction-on-directed-signed-graph

This is the course project of AI3602: Data Mining of SJTU. Group Members include Jinghao Feng, Mingyang Jiang and Wenzhong Zheng.

machine-learning-homework

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

mnist_tutorial

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

ngsim_smarts

opendrive-mapping-planning

pose2carton

Educational API for 3D Vision using pose to control carton.

railway_detection

Railway detection in video without deep learning

ray_tutorial

An introductory tutorial about leveraging Ray core features for distributed patterns.

reeds-shepp-curves

A simple Python implementation of the Reeds-Shepp curves formulas.

rl101

RL algorithms

rllibsumoutils

Python3 library able to connect the RLLIB framework with the SUMO simulator.

smarts

Scalable Multi-Agent RL Training School for Autonomous Driving

snntorch-n-mnist

Deep and online learning with spiking neural networks in Python

spectrum-resource-prediction

Course project for EE225

spiking-neural-networks-tutorials

Interactive Tutorials on Training Spiking Neural Network With Backprop

sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

sumo-tutorial

tactilesgnet

A spiking graph neural network for event-based learning