-
Updated
May 21, 2023 - Python
seq2seq
Here are 1,042 public repositories matching this topic...
This project is focused on word to to word transliteration from English to Indic languages and vice-versa. . This was done using seq2seq architecture using **LSTM** and **GRU** and **LSTM with Bahdanau Attention mechanism**.
-
Updated
Jan 7, 2023 - PureBasic
Different sequence to sequence models for a chatbot. has attention, beam search, mutual information etc.
-
Updated
Jun 13, 2017 - Python
Deep Learning for Computer Vision 2018 Spring
-
Updated
Jul 3, 2018 - Python
Sequence Models Assignments from Coursera Deep Learning Specialzation
-
Updated
Feb 19, 2018 - Jupyter Notebook
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
-
Updated
Aug 30, 2018 - Python
-
Updated
Jun 1, 2018 - Python
CommE 5045, Machine Learning and Having It Deep and Structured, 2018 Spring, National Taiwan University (NTU)
-
Updated
Aug 15, 2018 - Python
A Seq2Seq model with attention for neural machine translation in PyTorch
-
Updated
Nov 2, 2018 - Perl
-
Updated
May 12, 2019 - Python
☀️A list of question generation papers (with code)
-
Updated
May 4, 2020
Sequence Level Training with Deep Reinforcement Learning
-
Updated
Dec 8, 2022 - Python
Chatbot using Transformer Model and DialoGPT
-
Updated
May 4, 2022 - Jupyter Notebook
NLP Seq2Seq Attention Transformer based English to Hindi translator, trained on CUDA and coded using PyTorch. The model can be trained of a larger corpus for a better output since I could only train of 4 Gigs of CUDA memory.
-
Updated
Nov 24, 2022 - Jupyter Notebook
Generating unit test by sequence-to-sequence model.
-
Updated
Nov 29, 2023 - Python
TextAI: Popular deep neural networks trained on text data for common NLP task.
-
Updated
Feb 7, 2024 - Python
-
Updated
Feb 25, 2024 - Jupyter Notebook
Machine translation problem: from English to Vietnamese
-
Updated
Apr 2, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the seq2seq topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the seq2seq topic, visit your repo's landing page and select "manage topics."