paarthneekhara/byteNet-tensorflow
ByteNet for character-level language modelling
This project helps natural language processing engineers and researchers build advanced character-level language models. It takes large text datasets, like books or articles in one language, and can either generate new text in that style or translate text between languages. The output is highly realistic generated text or translated sentences.
318 stars. No commits in the last 6 months.
Use this if you are an NLP researcher or engineer looking to experiment with character-level text generation or machine translation models for specialized language tasks.
Not ideal if you need an out-of-the-box, production-ready translation service or a simple text generator without deep model customization.
Stars
318
Forks
67
Language
Python
License
MIT
Category
Last pushed
Aug 23, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/paarthneekhara/byteNet-tensorflow"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
domluna/memn2n
End-To-End Memory Network using Tensorflow
HKUST-KnowComp/R-Net
Tensorflow Implementation of R-Net
carpedm20/MemN2N-tensorflow
"End-To-End Memory Networks" in Tensorflow
localminimum/QANet
A Tensorflow implementation of QANet for machine reading comprehension
allenai/bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that...