oxford-cs-deepnlp-2017/practical-open
Oxford Deep NLP 2017 course - Open practical
This project offers practical explorations in natural language processing (NLP) for advanced students. It helps you experiment with tasks like generating text from a set of topics, creating summaries of long documents, or translating languages. You'll input text data and receive generated text, summaries, or translations, making it ideal for those studying or researching how to build sophisticated language AI.
No commits in the last 6 months.
Use this if you are an NLP student or researcher looking for hands-on experience with advanced text generation, summarization, or machine translation models.
Not ideal if you're looking for a pre-built, production-ready tool for generating content or translating text, as this is a learning and experimentation platform.
Stars
99
Forks
71
Language
—
License
—
Category
Last pushed
May 16, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/oxford-cs-deepnlp-2017/practical-open"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
RingBDStack/SocialED
A python library for social event detection
mesolitica/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
astorfi/Deep-Learning-NLP
:satellite: Organized Resources for Deep Learning in Natural Language Processing
rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including...
DSKSD/DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)