Sequence to Sequence from Scratch Using Pytorch
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A deep, LSTM-based part of speech tagger and sentiment analyser using character embeddings instea...
Ongoing research training transformer models at scale
Modular Python implementation of encoder-only, decoder-only and encoder-decoder transformer archi...
This is repository for DeepLearning Study in Kyung Hee University
Text to Image Generation (Reverse image captioning): This task is just the reverse of image capti...
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in ...
This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation)...
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
This repository recorded my NLP journey.
Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf
Some frequently used NLP blocks I implemented
A python tool for evaluating the quality of sentence embeddings.
The guide to tackle with the Text Summarization
This is Andrew NG Coursera Handwritten Notes.