Lokesh N's repositories
CATENets_BASE
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
TAship
Code for TAship
GIKS_release
Official code for the AAAI-24 paper: Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
recourse_release
Code for the paper: Learning Recourse on Instance Environment to Enhance Prediction Accuracy, Neurips 2022
GCFL_Release
GCFL
dataset-interfaces
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
deep_causal_inference_ite_library
Code library for training causal inference deep learning models with automatic hyperparameter optimization written in Tensorflow 2.
mlforhealthlabpub
Machine Learning and Artificial Intelligence for Medicine.
ONE
Outlier Aware Network Embedding for Attributed Networks
AAA
Active and Efficient Estimation of Accuracy Surfaces
cs726_var_dedup
CS726 Adv. Machine Learning Project
SFedAvg-AAAI21
Supplementary material for the paper: Game of Gradients: Mitigating irrelevant clients in Federated Learning
www-hoodle
web home for hoodle project