dmitrykazhdan/MARLeME

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19
Rank 1,157,525 (Top 23 %)
Language
C++
Created over 5 years ago
Updated over 4 years ago

dmitrykazhdan/MARLeME

dmitrykazhdan

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

concept-based-xai

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

Representing-Programs-with-Graphs

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

MEME-RNN-XAI

MEME: Generating RNN Model Explanations via Model Extraction

Jupyter Notebook

CME

CME: Concept-based Model Extraction

gci

GCI: A Graph Concept Interpretation Framework

GP-DNN-Hybrids

Using Gaussian Processes for Deep Neural Network Predictive Uncertainty Estimation

METABRIC-Autoencoder

Extracting High-Quality Features From Biomedical Datasets Using Multimodal Autoencoders

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

Jupyter Notebook

Part-II-Project

Deduction Rules for Ontology Reasoning