An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' (Lin et al., ICLR 2017).
A library for Multilingual Unsupervised or Supervised word Embeddings
PyTorch original implementation of Cross-lingual Language Model Pretraining.
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
The main features of jiesutd/pytorchseqlabel are: General NLP.
Open-source alternatives to jiesutd/pytorchseqlabel include: explorerfreda/structured-self-attentive-sentence-embedding — An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' (Lin et al., ICLR 2017). facebookresearch/muse — A library for Multilingual Unsupervised or Supervised word Embeddings. facebookresearch/xlm — PyTorch original implementation of Cross-lingual Language Model Pretraining. fartashf/vsepp — PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives". freewym/espresso. eladhoffer/seq2seq.pytorch.