DSKSD/DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
This project provides pre-built implementations of various advanced Deep Natural Language Processing (NLP) models. It allows researchers and students to experiment with different text-based AI models, taking raw text data as input and producing outputs like word embeddings, parsed sentences, or text classifications. This is ideal for those studying or conducting research in the field of deep learning for natural language.
2,949 stars. No commits in the last 6 months.
Use this if you are a deep learning researcher or graduate student familiar with PyTorch and want to explore, understand, or adapt established NLP models from Stanford's cs224n course.
Not ideal if you are new to PyTorch or looking for a ready-to-use application rather than foundational model implementations for study and research.
Stars
2,949
Forks
648
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 15, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/DSKSD/DeepNLP-models-Pytorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
RingBDStack/SocialED
A python library for social event detection
rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including...
mesolitica/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
mannefedov/compling_nlp_hse_course
Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ
astorfi/Deep-Learning-NLP
:satellite: Organized Resources for Deep Learning in Natural Language Processing