8000 jingxuanyang (Jingxuan Yang (杨敬轩)) · GitHub
[go: up one dir, main page]
Skip to content
View jingxuanyang's full-sized avatar
18 followers · 10 following

Achievements

Achievement: Starstruck

Achievements

Achievement: Starstruck

Organizations

@THU-AI-Testing

Block or report jingxuanyang

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. This note will only be visible to you.
BECF
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jingxuanyang/README.md

Hi there 👋 It's Jingxuan Yang's Github profile.

Anurag's GitHub stats

Top Langs

Pinned Loading

  1. Shopee-Product-Matching Shopee-Product-Matching Public

    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.

    Jupyter Notebook 42 9

  2. Functional-Analysis Functional-Analysis Public

    A book on Functional Analysis.

    TeX 9 2

  3. Probability Probability Public

    A book on Probability.

    TeX 1

  4. THU-AI-Testing/Adaptive-Testing-AIS THU-AI-Testing/Adaptive-Testing-AIS Public

    This project contains the source code and data for the paper titled "Adaptive Safety Performance Testing for Autonomous Vehicles with Adaptive Importance Sampling".

    Jupyter Notebook 2

  5. THU-AI-Testing/Adaptive-Testing-DenseRL THU-AI-Testing/Adaptive-Testing-DenseRL Public

    This project contains the source code and data for the paper titled "Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning".

    Jupyter Notebook 2

  6. THU-AI-Testing/Adaptive-Testing-SCV THU-AI-Testing/Adaptive-Testing-SCV Public

    This project contains the source code and data for the paper titled "Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates".

    Jupyter Notebook 2

0