MuntahaShams/Character-level-LSTM-Pytorch
In this notebook, I'll construct a character-level LSTM with PyTorch. The network will train character by character on some text, then generate new text character by character. As an example, I will train on Anna Karenina. This model will be able to generate new text based on the text from the book!
No commits in the last 6 months.
Stars
3
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 20, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MuntahaShams/Character-level-LSTM-Pytorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
minimaxir/textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text...
vpj/python_autocomplete
A simple neural network for python autocompletion
jackcook/predictive-spy
Spying on Appleās new predictive text model
yuazi/keyboard-AI
Self-learning keyboard layout optimizer using n-gram statistics and an ergonomic cost model
realAltamashAli/bilingual-swiftkey-nlp
A high-performance bilingual (EN/DE) text prediction engine using Katz Back-off N-gram modeling,...