Ecosyste.ms: Awesome
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Projects in Awesome Lists by LGirrbach
A curated list of projects in awesome lists by LGirrbach .
https://github.com/lgirrbach/hard-attention-transducer
End-to-end trainable autoregressive and non-autoregressive transducers using hard attention
end-to-end hard-attention sequence-to-sequence transducers transduction
Last synced: 19 Jan 2025
https://github.com/lgirrbach/sigmorphon-2023-inflection
Code for our SIGMORPHON 2023 shared task description paper: Tü-CL at SIGMORPHON 2023: Straight-Through Gradient Estimation for Hard Attention
inflection morphological-inflection morphology seq2seq straight-through-gradient transducer
Last synced: 19 Jan 2025
https://github.com/lgirrbach/discrete-latent-representation
Implementation of a straight-through gradient wrapper to allow for discrete latent representations. Provides binary discretizer which maps hidden representations to {0, 1} and a learnable multi-value discretizer, which maps hidden activations to their closest value in a set of given size.
discrete-latent-representations neural-network neuro-symbolic-learning straight-through-gradient
Last synced: 19 Jan 2025
https://github.com/lgirrbach/tuereuth-legal-at-semeval-task-6
TüReuth Legal Code for SemEval 2023 Task 6: LegalAI.
legal-documents semeval semeval-2023 sequence-labeling
Last synced: 19 Jan 2025
https://github.com/lgirrbach/em-g2p-aligner
Python implementation of the many-to-many aligner proposed by Jiampojamarn et al. (2007): Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion
alignment expectation-maximization g2p
Last synced: 19 Jan 2025
https://github.com/lgirrbach/sigmorphon-2023-glossing
Code for our SIGMORPHON 2023 shared task description paper: Tü-CL at SIGMORPHON 2023: Straight-Through Gradient Estimation for Hard Attention
interlinear-gloss morphology segmentation straight-through-gradient
Last synced: 19 Jan 2025
https://github.com/lgirrbach/sequence-labelling
LSTM model for sequence labelling. Includes option to expand input length by constant. Currently implements cross-entropy, crf, and ctc losses.
crf-lstm ctc ctc-crf sequence-labeling
Last synced: 19 Jan 2025
https://github.com/lgirrbach/pytorch-qrnn
Proof-of-concept implementation of QRNN Layer in Pytorch. Recurrent pooling is implemented purely in PyTorch, no Python loop and also no extra CUDA code.
pytorch qrnn quasi-recurrent-neural-networks rnn
Last synced: 19 Jan 2025
https://github.com/lgirrbach/cognate-reflex-prediction
Contains modification of hard transducers to predict cognate reflexes (SIGTYP 2022 shared task). The encoder is changed in order to process multiple-sequence-alignment grids of multiple cognates instead of single sequences.
Last synced: 19 Jan 2025
https://github.com/lgirrbach/simple-chinese-sentences
Tutorial how to create an Anki deck for learning simple Chinese sentences.
anki chinese language-learning
Last synced: 12 Jan 2025