An implmentation of the AWD-LSTM in PyTorch
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Updated
Feb 27, 2019 - Jupyter Notebook
An implmentation of the AWD-LSTM in PyTorch
Filipino pretrained BERT & ULMFiT models, plus large unlabeled text corpora
classifying the sentiment of reviews using AWD-LSTM
Pre-trained AWD-LSTM language model trained on Filipino text corpus using fastai v2. Instructions included.
Patent Classifier using natural language processing
Skriptejä kielimallin kouluttamiseksi ja puppugenerointiin
PyTorch implementation of DeFINE word embeddings with AWD-LSTM for language modeling. The input and output embeddings for AWD-LSTMM are tied
AWD-LSTM and ULMFiT reproduction from scratch
HLSTM Model
LSTM and QRNN Language Model Toolkit for PyTorch (adapted to fast.ai version)
Simple ARtificial Intelligence Inspiration
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