mzalaya

mzalaya's Stars

• wu-dd/Advances-in-Partial-and-Complementary-Label-Learning

  A curated list of most recent papers & codes in Learning with Partial/Complementary Labels

  Language:HTML491

• NeptuneProjects/RISCluster

  Deep clustering for seismic signals (icequakes and earthquakes)

  Language:Python123

• gengdd/Awesome-Time-Series-Spatio-Temporal

  Awesome Time-Series and Spatio-Temporal Related

  898

• jaredleekatzman/DeepSurv

  DeepSurv is a deep learning approach to survival analysis.

  Language:Jupyter Notebook594175

• XueFuzhao/awesome-mixture-of-experts

  A collection of AWESOME things about mixture-of-experts

  1k74

• cuge1995/awesome-time-series

  list of papers, code, and other resources

  969157

• LituRout/OptimalTransportModeling

  The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.

  Language:Jupyter Notebook569

• abdelwahed/OT_for_big_data

  Optimal Transport in the Big Data Era

  967

• tslearn-team/tslearn

  The machine learning toolkit for time series analysis in Python

  Language:Python2.9k343

• joisino/reeval-wmd

  Code for "Re-evaluating Word Mover’s Distance" (ICML 2022)

  Language:Python396

• khainb/CV-SW

  Official PyTorch implementation for paper: Sliced Wasserstein Estimation with Control Variates

  Language:Python31

• lchapel/UOT-though-penalized-linear-regression

  Contains the code relative to the paper Unbalanced Optimal Transport through Non-negative Penalized Linear Regression https://arxiv.org/abs/2106.04145

  Language:Jupyter Notebook12

• thibsej/fast_uot

  [AISTATS22] This is a repository which computes Unbalanced Optimal Transport in faster settings.

  Language:Python91

• huseinzol05/Stock-Prediction-Models

  Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

  Language:Jupyter Notebook8.2k2.9k

• meyerscetbon/LinearSinkhorn

  Language:Python164

• thibsej/unbalanced_gromov_wasserstein

  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport

  Language:Jupyter Notebook4312

• kilianFatras/minibatch_Wasserstein

  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".

  Language:Jupyter Notebook131

• ImKeTT/Low-rank_Matrix-completion

  [Tool] Low rank matrix recovery by minimizing matrix norm

  Language:MATLAB4513

• cuishuhao/HDA

  codes for Heuristic Domain Adaptation (NeurIPS2020)

  Language:Python569

• samirchowdhury/HyperCOT

  Code for computing Hypergraph Co-Optimal Transport distances

  Language:Jupyter Notebook16

• BorgwardtLab/TOGL

  Topological Graph Neural Networks (ICLR 2022)

  Language:Python11922

• dair-ai/ML-Course-Notes

  🎓 Sharing machine learning course / lecture notes.

  6.1k802

• gnab/remark

  A simple, in-browser, markdown-driven slideshow tool.

  Language:JavaScript12.8k857

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python19.1k4.3k

• lttam/SobolevTransport

  Code for "Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics", published at AISTATS 2022 (Authors: Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen)

  Language:MATLAB81

• lucgiffon/pycle

  PYCLE: a Python Compressive Learning toolbox

  Language:Python22

• palm-ml/valen

  Instance-Dependent Partial Label Learning（NIPS'21）；Variational Label Enhancement for Instance-Dependent Partial Label Learning（TPAMI）

  Language:Python243

• amber0309/Domain-generalization

  All about domain generalization

  834124

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.5k334

• lukeolson/parxiv

  a simple script to assist in making a clean directory to upload to arxiv

  Language:TeX277