dmitrykazhdan

CME

CME: Concept-based Model Extraction

concept-based-xai

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

gci

GCI: A Graph Concept Interpretation Framework

GP-DNN-Hybrids

Using Gaussian Processes for Deep Neural Network Predictive Uncertainty Estimation

MARLeME

General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems

MEME-RNN-XAI

MEME: Generating RNN Model Explanations via Model Extraction

METABRIC-Autoencoder

Extracting High-Quality Features From Biomedical Datasets Using Multimodal Autoencoders

Multi-Modal-Training-Data-Creation-with-Snorkel

Part-II-Project

Deduction Rules for Ontology Reasoning

Representing-Programs-with-Graphs

Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"

dmitrykazhdan/concept-based-xai

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

dmitrykazhdan/Representing-Programs-with-Graphs

Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"

dmitrykazhdan/MARLeME

General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems

dmitrykazhdan/MEME-RNN-XAI

MEME: Generating RNN Model Explanations via Model Extraction

dmitrykazhdan/CME

CME: Concept-based Model Extraction

dmitrykazhdan/gci

GCI: A Graph Concept Interpretation Framework

dmitrykazhdan/GP-DNN-Hybrids

Using Gaussian Processes for Deep Neural Network Predictive Uncertainty Estimation

dmitrykazhdan/METABRIC-Autoencoder

Extracting High-Quality Features From Biomedical Datasets Using Multimodal Autoencoders

dmitrykazhdan/Multi-Modal-Training-Data-Creation-with-Snorkel

dmitrykazhdan/Part-II-Project

Deduction Rules for Ontology Reasoning