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
[ICML 2021] "Selfish Sparse RNN Training" by Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy
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
LSTM and QRNN Language Model Toolkit for PyTorch (adapted to fast.ai version)
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
Skriptejä kielimallin kouluttamiseksi ja puppugenerointiin
HLSTM Model
Simple ARtificial Intelligence Inspiration
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