nlp/

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Published: May 24, 2021 License: BSD-2-Clause

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Path Synopsis
Package charlm provides an implementation of a character-level language model that uses a recurrent neural network as its backbone.
Package charlm provides an implementation of a character-level language model that uses a recurrent neural network as its backbone.
Package contextualstringembeddings provides an implementation of the "Contextual String Embeddings" of words (Akbik et al., 2018).
Package contextualstringembeddings provides an implementation of the "Contextual String Embeddings" of words (Akbik et al., 2018).
Package evolvingembeddings provides a word embedding model that evolves by dynamically aggregating contextual embeddings over time during inference.
Package evolvingembeddings provides a word embedding model that evolves by dynamically aggregating contextual embeddings over time during inference.
Package sequencelabeler provides an implementation of a sequence labeling architecture composed by Embeddings -> BiRNN -> Scorer -> CRF.
Package sequencelabeler provides an implementation of a sequence labeling architecture composed by Embeddings -> BiRNN -> Scorer -> CRF.
Package stackedembeddings provides convenient types to stack multiple word embedding representations by concatenating them.
Package stackedembeddings provides convenient types to stack multiple word embedding representations by concatenating them.
Package tokenizers is an interim solution while developing `gotokenizers` (https://github.com/nlpodyssey/gotokenizers).
Package tokenizers is an interim solution while developing `gotokenizers` (https://github.com/nlpodyssey/gotokenizers).
basetokenizer
Package basetokenizer provides an implementation of a very simple tokenizer that splits by white-spaces (and alike) and punctuation symbols.
Package basetokenizer provides an implementation of a very simple tokenizer that splits by white-spaces (and alike) and punctuation symbols.
sentencepiece/internal/sentencepiece
Package sentencepiece implements the SentencePiece encoder (Kudo and Richardson, 2018).
Package sentencepiece implements the SentencePiece encoder (Kudo and Richardson, 2018).
transformers
bart
Package bart implements the transformer model introduced by Mike et al., 2019.
Package bart implements the transformer model introduced by Mike et al., 2019.
bert
Package bert provides an implementation of BERT model (Bidirectional Encoder Representations from Transformers).
Package bert provides an implementation of BERT model (Bidirectional Encoder Representations from Transformers).
generation
Package generation implements a generation search algorithm for conditional generation.
Package generation implements a generation search algorithm for conditional generation.

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