mehrdadasadiut

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

bank-data

bank-dataset

Counterfactual-Trajectory-Explanations-for-Learned-Reward-Functions

Code for my Master Thesis: I generate Counterfactual Trajectory Explanations about Reward Functions that were learned with Inverse Reinforcemnet Learning

fedn

A scalable, resilient and model agnostic federated learning framework.

InterestingnessXRL

A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.

multi-taxi-drl

pareto-conditioned-networks

patchcore-inspection

reinforcement-learning-resources

A curated list of awesome reinforcement courses, video lectures, books, library and many more.

SXp-ICAART23

mehrdadasadiut/anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

mehrdadasadiut/bank-data

bank-dataset

mehrdadasadiut/Counterfactual-Trajectory-Explanations-for-Learned-Reward-Functions

Code for my Master Thesis: I generate Counterfactual Trajectory Explanations about Reward Functions that were learned with Inverse Reinforcemnet Learning

mehrdadasadiut/fedn

A scalable, resilient and model agnostic federated learning framework.

mehrdadasadiut/InterestingnessXRL

A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.

mehrdadasadiut/multi-taxi-drl

mehrdadasadiut/pareto-conditioned-networks

mehrdadasadiut/patchcore-inspection

mehrdadasadiut/reinforcement-learning-resources

A curated list of awesome reinforcement courses, video lectures, books, library and many more.

mehrdadasadiut/SXp-ICAART23

mehrdadasadiut/test

mehrdadasadiut/TrashNet

Deep Learning based Waste Segregation Project to classify waste images into different classes.