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WalterBabyRudin.github.io Public
This is the html for my personal website
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Sparse_classification Public
An unoffical python implementation for the sparse classification problem in "Sparse Classification: A Scalable Discrete Optimization Perspective"
Python UpdatedOct 6, 2025 -
Lasso_python Public
An unoffical implementation for the Lasso problem \min_{x\in\mathbb{R}_+^n} \|x\|_1 + \frac{1}{2\mu}\|Ax-b\|_2^2
Python UpdatedOct 5, 2025 -
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SDRO_poster Public
Poster of manuscript "Sinkhorn Distributionally Robust Optimization"
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EnbPI Public
Forked from hamrel-cxu/EnbPICode for ICML 2021 Oral Paper: Conformal Prediction Interval for Dynamic Time-Series AND the extended version under review by the Journal of Machine Learning Research
Python MIT License UpdatedAug 5, 2022 -
Invertible-Graph-Neural-Network-iGNN Public
Forked from hamrel-cxu/Invertible-Graph-Neural-Network-iGNNOfficial code for the paper: Invertible Neural Network for Graph Prediction
Jupyter Notebook UpdatedJun 20, 2022 -
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osmm Public
Forked from cvxgrp/osmmoracle-structured minimization method
Python UpdatedSep 1, 2021 -
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LeetCode Public
Forked from yuzhangcmu/LeetCodeLeetCode solutions written in Java
Java UpdatedOct 2, 2020 -
releasing-research-code Public
Forked from paperswithcode/releasing-research-codeTips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
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google-research Public
Forked from google-research/google-researchGoogle Research
Jupyter Notebook Apache License 2.0 UpdatedMay 12, 2020 -
tensorflow Public
Forked from tensorflow/tensorflowAn Open Source Machine Learning Framework for Everyone
C++ Apache License 2.0 UpdatedNov 12, 2019 -
spectre Public
Forked from yp-mit/spectreSPECTRE: Short packet communication toolbox
MATLAB UpdatedOct 15, 2019 -
YALL1 Public
Forked from andrewssobral/YALL1YALL1: Your ALgorithms for L1
MATLAB GNU Lesser General Public License v3.0 UpdatedJan 28, 2018 -
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machine_learning_examples Public
Forked from lazyprogrammer/machine_learning_examplesA collection of machine learning examples and tutorials.
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