Jingxuan Yang (杨敬轩) (jingxuanyang)

jingxuanyang

Geek Repo

Company:Tsinghua University

Location:Beijing, China

Home Page:https://www.jingxuanyang.com

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Organizations
THU-AI-Testing

Jingxuan Yang (杨敬轩)'s repositories

Shopee-Product-Matching

This repo deals with a Kaggle competition: Shopee - Price Match Guarantee. The purpose is to determine if two products are the same by their images.

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LowRankMatrixRestoration

This project focuses on low-rank matrix restoration with robust principal component analysis (RPCA) and matrix completion (MC).

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SPMD-Dataset

Safety Pilot Model Deployment Public Dataset

Functional-Analysis

Rearrangement of the book: Functional Analysis Basics.

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HITSZMealRecognition

HITSZ meal recognition with YOLO neural network

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Batch-Recursive-Formula-Variance

In this note, we will give the recursive formulas for sample mean and sample variance, and their generalized forms for batch updates.

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hitszthesis

A dissertation template for Harbin Institute of Technology, ShenZhen (HITSZ), including bachelor, master and doctor dissertations

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jingxuanyang.github.io

blog & blog theme

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Pattern-Recognition-Basics

This is a book about the basics of pattern recognition.

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ROS-Theory-Practice

This is a book about the theory and practice of ROS.

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Stepwise-Sample-Means-Variance

In this note, we will analyze the variance of stepwise sample means (SSM).

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CloseAirCombat

An environment based on JSBSIM aimed at one-to-one close air combat.

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CppRobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

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g2vd_planner

An efficient motion planner with grid-based generalized Voronoi diagrams

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jingxuanyang

Config files for my GitHub profile.

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learning_ray

Code for the upcoming book "Learning Ray" with O'Reilly

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local-planning-benchmark

A unified benchmark for the evaluation of mobile robot local planning approaches

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MDPFuzz

Official implementation of ISSTA 2022 paper: MDPFuzz: Testing Models Solving Markov Decision Processes.

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NADE

This repo contains the code for paper "Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment".

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OpenCDA

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

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PathPlanning

Python sample codes for path planning.

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Pattern-Recognition-Homework

This repo consists of homework of Pattern Recognition.

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safety-gym

Tools for accelerating safe exploration research.

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slate

Slate is a Jekyll theme for GitHub Pages

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sumo_carla_simulator

This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"

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Transportation-World-Next-Generation

Empower Traffic Simulation via Foundation Model

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UniAD

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

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Unity-ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

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