sherjilozair/char-rnn-tensorflow
A character-level language model implementation using multi-layer LSTM/GRU recurrent neural networks built with TensorFlow.
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This repository provides a character-level language model based on multi-layer recurrent neural networks (LSTM or RNN) implemented in Python using TensorFlow. Inspired by Andrej Karpathy’s original char-rnn, it trains on text corpora to generate new text character-by-character. Users can train on custom text datasets and sample sequences from trained model checkpoints.
Frequently asked
- What is sherjilozair/char-rnn-tensorflow?
- A character-level language model implementation using multi-layer LSTM/GRU recurrent neural networks built with TensorFlow.
- Is char-rnn-tensorflow open source?
- Yes — sherjilozair/char-rnn-tensorflow is open source, released under the MIT license.
- What language is char-rnn-tensorflow written in?
- sherjilozair/char-rnn-tensorflow is primarily written in Python.
- How popular is char-rnn-tensorflow?
- sherjilozair/char-rnn-tensorflow has 2.7k stars on GitHub.
- Where can I find char-rnn-tensorflow?
- sherjilozair/char-rnn-tensorflow is on GitHub at https://github.com/sherjilozair/char-rnn-tensorflow.