
practical_seq2seq
by suriyadeepan (personal account)
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly (description from the project’s GitHub page)
Repository facts
- Stars
- 567
- Forks
- 263
- Open issues and pull requests
- 56
- Primary language
- Jupyter Notebook
- License
- GNU General Public License v3.0 (GPL-3.0)
- Owner
- suriyadeepan · Personal account
- Created
- Dec 26, 2016
- Last push
- Jan 12, 2018
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 2,714: Conchylicultor/DeepQA
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
2,906 starsPythonApache-2.0Last push Dec 30, 2022
Rank 3,895: Arturus/kaggle-web-traffic
1st place solution
1,848 starsJupyter NotebookMITLast push Oct 9, 2022
Rank 5,800: guillaume-chevalier/seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
1,083 starsJupyter NotebookApache-2.0Last push Mar 25, 2023
Rank 9,227: theamrzaki/text_summurization_abstractive_methods
Multiple implementations for abstractive text summurization , using google colab
530 starsJupyter NotebookNo license file detectedLast push Oct 6, 2020
Rank 7,838: Spandan-Madan/Me_Bot
Build a bot that speaks like you!
687 starsJupyter NotebookNo license file detectedLast push Oct 1, 2020