LJSthu
Ph.D. Candidate @THU-TAI | Remote @namkoong-lab | VSR @Stanford MS&E
Tsinghua UniversityBeijing
Pinned Repositories
cracker-zhihu
爬取知乎对某一回答点赞的用户列表
Ghost_hunter
中微子数据分析大赛
HRM
The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.
info-GAN
Implementation Info-GAN in pytorch
Kernelized-HRM
The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
Movie-Analysis
使用机器学习算法的电影推荐系统以及票房预测系统
Python-Remove-Watermark
A simple program to remove the watermark from a PDF file.
SingleCycleCPU
32 bit Single Cycle CPU——Tsinghua computer principle homework
dro
A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch
whyshift
A python package providing a benchmark with various specified distribution shift patterns.
LJSthu's Repositories
LJSthu/Movie-Analysis
使用机器学习算法的电影推荐系统以及票房预测系统
LJSthu/Python-Remove-Watermark
A simple program to remove the watermark from a PDF file.
LJSthu/HRM
The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.
LJSthu/Kernelized-HRM
The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
LJSthu/Ghost_hunter
中微子数据分析大赛
LJSthu/cracker-zhihu
爬取知乎对某一回答点赞的用户列表
LJSthu/info-GAN
Implementation Info-GAN in pytorch
LJSthu/StableAL
Code for Stable Adversarial Learning
LJSthu/LJSthu.github.io
Jiashuo LIu's Homepage
LJSthu/NAB
The Numenta Anomaly Benchmark
LJSthu/PRML-reading-notes
PRML reading notes written in markdown.
LJSthu/REKCARC-TSC-UHT
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
LJSthu/SRM
Code for AISTATS 2024 paper "Enhancing Distributional Stability among Sub-Populations"
LJSthu/.tmux
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
LJSthu/955.WLB
955 不加班的公司名单 - 工作 955,work–life balance (工作与生活的平衡)
LJSthu/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
LJSthu/CBP_2021
LJSthu/DeepFaceLab
DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
LJSthu/dg_mmld
Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains
LJSthu/folktables
Datasets derived from US census data
LJSthu/gsw
LJSthu/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
LJSthu/New-Grad-Positions-2023
A collection of New Grad full time roles in SWE, Quant, and PM.
LJSthu/os_course_exercises
Exercises for OS course
LJSthu/Select-Optimal-Decisions-via-DRO-KNN
Accompanying code for the NIPS 2019 paper titled 'Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression'
LJSthu/TabularOODBenchmark
Description of our tabular benchmark.
LJSthu/THU-CST-Cracker
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
LJSthu/thuthesis
LaTeX Thesis Template for Tsinghua University
LJSthu/waveform-analysis
Waveform analysis for reviewing all the effective methods.
LJSthu/whyshift
A python package providing a benchmark with various specified distribution shift patterns.