Jingxuan Yang (杨敬轩) (jingxuanyang)

jingxuanyang

User data from Github https://github.com/jingxuanyang

Company:Tsinghua University

Location:Beijing, China

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

GitHub:@jingxuanyang


Organizations
THU-AI-Testing

Jingxuan Yang (杨敬轩)'s repositories

ROS-Theory-Practice

A book on ROS Theory and Practice.

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Functional-Analysis

A book on Functional Analysis.

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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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jingxuanyang.github.io

blog & blog theme

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Pattern-Recognition

A book on Pattern Recognition.

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Probability

A book on Probability.

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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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Stochastic-Process

A book on Stochastic Process.

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AgiBot-World

World's First Large-scale High-quality Robotic Manipulation Benchmark

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CHIEF

Clinical Histopathology Imaging Evaluation Foundation Model

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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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dagr

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

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DrEureka

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

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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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LimSim

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

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local-planning-benchmark

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

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Long-Tailed-Learning

A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).

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loss-of-plasticity

Demonstrations of Loss of Plasticity and Implementation of Continual Backpropagation

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PathPlanning

Python sample codes for path planning.

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SafeDriver

This repository contains the source code and data for the paper titled "Breaking through safety performance stagnation in autonomous vehicles with dense learning".

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simpleRL-reason

This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limited data

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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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TAD_Sim

腾讯自动驾驶仿真系统 TAD Sim (Tencent Autonomous Driving Simulation) 单机版是腾讯自动驾驶以建立更加安全和高效的自动驾驶测试工具为目标, 为自动驾驶系统研发和验证而量身定做的跨平台分布式系统.

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tiny-universe

《大模型白盒子构建指南》:一个全手搓的Tiny-Universe

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TinyZero

Clean, minimal, accessible reproduction of DeepSeek R1-Zero

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TrafficBots

TrafficBots V1.5: TrafficBots + HPTR. 3rd place solution for Waymo Open Sim Agent Challenge 2024.

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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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