Machine Learning Scientist at @freenome.
Former researcher and lector at @ml-jku @bioinf-jku.
Core interests: ML, DL, LSTM, Bioinformatics, Biogerontology
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ml-jku/DeepRC
ml-jku/DeepRC PublicDeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning
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widis-lstm-tools
widis-lstm-tools PublicTools for working with Long Short-Term Memory (LSTM) networks and sequences in Pytorch
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programming-in-python
programming-in-python PublicProgramming in Python for Machine Learning - learning Python with an additional focus on Machine Learning (ML)
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rudder-a-practical-tutorial
rudder-a-practical-tutorial PublicA practical step-by-step guide to applying RUDDER
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ml-jku/oeaw_ai_summer_school
ml-jku/oeaw_ai_summer_school PublicIntroduction to Machine Learning and Neural Networks, including NNs, CNNs, RNNs, AE, VAE, and GAN
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multiprocess-shared-numpy-arrays
multiprocess-shared-numpy-arrays PublicEasily share numpy arrays between processes
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