jingxuanyang

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.

CMC

全国大学生数学竞赛 (CMC) 习题总结

Functional-Analysis

Rearrangement of the book: Functional Analysis Basics.

HITSZMealRecognition

HITSZ meal recognition with YOLO neural network

hitszthesis

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

LowRankMatrixRestoration

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

Pattern-Recognition-Basics

This is a book about the basics of pattern recognition.

ROS-Theory-Practice

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

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.

SPMD-Dataset

Safety Pilot Model Deployment Public Dataset

jingxuanyang/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.

jingxuanyang/LowRankMatrixRestoration

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

jingxuanyang/SPMD-Dataset

Safety Pilot Model Deployment Public Dataset

jingxuanyang/Functional-Analysis

Rearrangement of the book: Functional Analysis Basics.

jingxuanyang/HITSZMealRecognition

HITSZ meal recognition with YOLO neural network

jingxuanyang/ROS-Theory-Practice

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

jingxuanyang/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.

jingxuanyang/hitszthesis

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

jingxuanyang/jingxuanyang.github.io

blog & blog theme

jingxuanyang/Pattern-Recognition-Basics

This is a book about the basics of pattern recognition.

jingxuanyang/Stepwise-Sample-Means-Variance

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

jingxuanyang/CloseAirCombat

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

jingxuanyang/CppRobotics

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

jingxuanyang/dagr

Code for the paper "Low Latency Automotive Vision with Event Cameras", published in Nature

jingxuanyang/DrEureka

Official Repository for "DrEureka: Language Model Guided Sim-To-Real Transfer"

jingxuanyang/g2vd_planner

An efficient motion planner with grid-based generalized Voronoi diagrams

jingxuanyang/jingxuanyang

Config files for my GitHub profile.

jingxuanyang/learning_ray

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

jingxuanyang/LimSim

LimSim & LimSim++: Integrated traffic and autonomous driving simulators with (M)LLM support

jingxuanyang/local-planning-benchmark

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

jingxuanyang/NADE

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

jingxuanyang/NeuralNDE

jingxuanyang/PathPlanning

Python sample codes for path planning.

jingxuanyang/Pattern-Recognition-Homework

This repo consists of homework of Pattern Recognition.

jingxuanyang/rltheorybook

jingxuanyang/safety-gym

Tools for accelerating safe exploration research.

jingxuanyang/sumo_carla_simulator

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

jingxuanyang/Transportation-World-Next-Generation

Empower Traffic Simulation via Foundation Model

jingxuanyang/UniAD

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

jingxuanyang/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.