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A statistical toolkit for scientific discovery using machine learning

Jupyter Notebook 79 6 Updated Jul 10, 2024

Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates

R 20 6 Updated Feb 17, 2023

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Python 269 31 Updated Sep 5, 2025

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

3,594 1,059 Updated Oct 23, 2025

LaTeX template for thesis and dissertation documents at UC Irvine

TeX 79 55 Updated Sep 6, 2025

Adaptive and Robust Multi-Task Learning

Jupyter Notebook 10 1 Updated May 19, 2024

Double Encoder Model (DEM): An indirect approach to estimate Individualized Treatment Rule (ITR) for Combination Treatment

Python 1 Updated Mar 20, 2023

Multi-Label Residual Weighted Learning (MLRWL) for individualized combination treatment rule

Python 4 Updated Jan 16, 2024

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Jupyter Notebook 4,430 794 Updated Dec 19, 2025

Starting kit for the NeurIPS 2023 unlearning challenge

Jupyter Notebook 374 133 Updated Sep 2, 2023
Python 27 1 Updated May 30, 2023

Roundtrip: density estimation with deep generative neural networks

Python 64 14 Updated Apr 27, 2024

Lecture Slides, Notes and Problem Set Answers to the Game Theory course on Coursera by Stanford University and The University of British Columbia

77 28 Updated May 7, 2020

Everything you need about Active Learning (AL).

950 84 Updated Jun 1, 2024

ActiveCrowdToolkit: Benchmarking tools for crowdsourcing research

C# 12 3 Updated Feb 15, 2016

A customized PyTorch layer and a customized PyTorch activation function using B-spline transformation

Python 29 3 Updated Jan 31, 2021

Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.

Python 275 25 Updated Oct 4, 2022

Differential private machine learning

Python 198 37 Updated Feb 10, 2022

disentanglement_lib is an open-source library for research on learning disentangled representations.

Python 1,414 202 Updated May 16, 2021

A curated list of research papers related to learning disentangled representations

465 42 Updated Jun 6, 2019
Python 26 4 Updated Nov 26, 2025

Crowdsourced datasets including the individual crowd votes.

Python 42 12 Updated Feb 3, 2020

ReduNet

Python 543 81 Updated Feb 17, 2022

Efficiently computes derivatives of NumPy code.

Python 7,427 933 Updated Dec 15, 2025

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

Python 875 160 Updated Jun 2, 2025

Constrained optimization toolkit for PyTorch

Python 706 34 Updated Jul 29, 2025

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

JavaScript 344 53 Updated Oct 18, 2020

Package for Heart Rate Variability analysis in Python

Python 433 104 Updated Nov 11, 2024
C++ 6 4 Updated Jun 18, 2019
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