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A statistical toolkit for scientific discovery using machine learning
Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
LaTeX template for thesis and dissertation documents at UC Irvine
Double Encoder Model (DEM): An indirect approach to estimate Individualized Treatment Rule (ITR) for Combination Treatment
Multi-Label Residual Weighted Learning (MLRWL) for individualized combination treatment rule
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…
Starting kit for the NeurIPS 2023 unlearning challenge
Roundtrip: density estimation with deep generative neural networks
Lecture Slides, Notes and Problem Set Answers to the Game Theory course on Coursera by Stanford University and The University of British Columbia
Everything you need about Active Learning (AL).
ActiveCrowdToolkit: Benchmarking tools for crowdsourcing research
A customized PyTorch layer and a customized PyTorch activation function using B-spline transformation
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
Differential private machine learning
disentanglement_lib is an open-source library for research on learning disentangled representations.
A curated list of research papers related to learning disentangled representations
Crowdsourced datasets including the individual crowd votes.
Efficiently computes derivatives of NumPy code.
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Package for Heart Rate Variability analysis in Python