divyat09

cf-feasibility

Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"

cate-estimator-selection

Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"

additive_decoder_extrapolation

Code accompanying the paper "Additive decoders for latent variables identification and cartesian-product extrapolation"

Weibull_Data_Fitting

Parameter estimation of Weibull Distribution

divyat09.github.io

Domain-generalization

All about domain generalization

IE-AutoML-competition

Description and instructions for the Inspiration Exchange AutoML competition organized by the vanderschaar lab.

ml_privacy

ood_identification

CourseWork-IITK

Exam

Psychopy

Code for Psychological Experiments

Side_Effect_Prediction

A recommender system to predict side effect rating for a patient-drug pair. Work done during internship at NUS.

Stance_Classification_Tweets

Predicting the stance for tweets using SVM

CS252_Assignmnent1

D-Compiler

Implementation of a Compiler for Dlang

AutoPrognosis

Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.

CausalRepID

Experiments to reproduce results in Interventional Causal Representation Learning.

DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

DomainBed

DomainBed is a suite to test domain generalization algorithms

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics)

JigenDG

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

LearningDeep

Raktarpan