tomerraviv95
PhD student, studying the use of machine-learning to enhance physical-layer communication. Youtube channel: Model-Based for Communication
Pinned Repositories
viterbinet-official
bayesian-learning-for-decoders
bayesian-learning-for-receivers
concept-drift-for-receivers
data-augmentations-for-receivers
data-augmentations-receivers
facilitating-adaptation-deep-receivers
meta-deepsic
meta-viterbinet
Implementation of ViterbiNet with offline learning, offline meta, online meta
polar-ensembles
tomerraviv95's Repositories
tomerraviv95/meta-deepsic
tomerraviv95/bayesian-learning-for-receivers
tomerraviv95/data-augmentations-for-receivers
tomerraviv95/facilitating-adaptation-deep-receivers
tomerraviv95/meta-viterbinet
Implementation of ViterbiNet with offline learning, offline meta, online meta
tomerraviv95/polar-ensembles
tomerraviv95/concept-drift-for-receivers
tomerraviv95/bayesian-learning-for-decoders
tomerraviv95/data-augmentations-receivers
tomerraviv95/TailBitingCC
tomerraviv95/higher-mid-bands-localization
tomerraviv95/icassp-single-channel-challenge
tomerraviv95/adapting-detectors-using-hypernetworks
tomerraviv95/AlgoTrainingNoSol
Algorithmic training without solutions
tomerraviv95/bayesian-learning-in-receivers-for-decoding
tomerraviv95/draw-israel-example
tomerraviv95/haystack-heb-search
tomerraviv95/modular-concept-drift-for-receivers
tomerraviv95/noise-algo
tomerraviv95/pandas_exercises
Practice your pandas skills!
tomerraviv95/tomerraviv95.github.io