Amir-Hofo/Language_Modeling_with_LSTM_models
This project explores language modeling using LSTM-based architectures trained on the WikiText-2 dataset. Two models are implemented: a standard LSTM language model and an advanced AWD-LSTM variant with regularization techniques such as weight dropout and locked dropout. Given a text prompt, both models generate coherent sentence continuations.
No commits in the last 6 months.
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 10, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Amir-Hofo/Language_Modeling_with_LSTM_models"
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 Apple’s 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,...