Natural Language Processing
DSKSD/DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Jupyter NotebookMITupdated Oct 15, 2019
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
$ git clone https://github.com/timbmg/Sentence-VAE.gitPytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
Confidence and Byt5 - based geotagging model predicting coordinates from text alone.
▲ +8 ★ this week
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Data from GitHub · snapshot Nov 13, 2026