Valentyn1997

fippy

Feature Importance with Python

AU-CNFs

Code for the paper "Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner"

CausalTransformer

Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"

CSM-APID

Code for the paper "Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model"

INFs

Code for the paper "Normalizing Flows for Interventional Density Estimation"

kg-alignment-lessons-learned

Implementation of reproducibility paper "Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned"

oct-diagn-semi-supervised

Implementation of the paper "Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels"

RICB

Code for the paper "Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation"

semi-supervised-text-classification

Adaptation of FixMatch for Semi-supervised text classification

xray

Unsupervised Anomaly Detection for X-Ray Images

Valentyn1997/CausalTransformer

Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"

Valentyn1997/xray

Unsupervised Anomaly Detection for X-Ray Images

Valentyn1997/kg-alignment-lessons-learned

Implementation of reproducibility paper "Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned"

Valentyn1997/semi-supervised-text-classification

Adaptation of FixMatch for Semi-supervised text classification

Valentyn1997/INFs

Code for the paper "Normalizing Flows for Interventional Density Estimation"

Valentyn1997/oct-diagn-semi-supervised

Implementation of the paper "Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels"

Valentyn1997/RICB

Code for the paper "Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation"

Valentyn1997/seal-regression

Linear Regression on Homomorphic Encrypted Data, based on PySEAL package

Valentyn1997/AU-CNFs

Code for the paper "Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner"

Valentyn1997/CSM-APID

Code for the paper "Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model"

Valentyn1997/meme

Multimodal Emotion Messaging Estimator

Valentyn1997/semi-supervised-certain-pseudo-labeling

Valentyn1997/awesome-causality-algorithms

An index of algorithms for learning causality with data

Valentyn1997/DyplomaPresentation

Valentyn1997/mlflow

Open source platform for the machine learning lifecycle

Valentyn1997/SuperGlue-pytorch

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

Valentyn1997/valentyn1997.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes