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University of Tübingen
- Munich, Germany
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sigmorphon-2023-glossing
sigmorphon-2023-glossing PublicCode for our SIGMORPHON 2023 shared task description paper: Tü-CL at SIGMORPHON 2023: Straight-Through Gradient Estimation for Hard Attention
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AML-SS-21----BayesFlow-on-Long-Term-Data
AML-SS-21----BayesFlow-on-Long-Term-Data PublicJupyter Notebook 1
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Sequence-Labelling
Sequence-Labelling PublicLSTM model for sequence labelling. Includes option to expand input length by constant. Currently implements cross-entropy, crf, and ctc losses.
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hard-attention-transducer
hard-attention-transducer PublicEnd-to-end trainable autoregressive and non-autoregressive transducers using hard attention
Python 1
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PyTorch-QRNN
PyTorch-QRNN PublicProof-of-concept implementation of QRNN Layer in Pytorch. Recurrent pooling is implemented purely in PyTorch, no Python loop and also no extra CUDA code.
Python 1
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sigmorphon-2023-inflection
sigmorphon-2023-inflection PublicCode for our SIGMORPHON 2023 shared task description paper: Tü-CL at SIGMORPHON 2023: Straight-Through Gradient Estimation for Hard Attention
Python 1
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