sherjilozair/char-rnn-tensorflow

Health v2 · maintenance only

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Adoption not part of the score

2659 stars · 944 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python/TensorFlow implementation of multi-layer recurrent neural networks (LSTM) for character-level language modeling, inspired by Andrej Karpathy's char-rnn. It includes training and sampling scripts that work on any plain-text corpus.

Use cases

• train a character-level language model on plain text
• generate text in the style of a corpus like Shakespeare
• experiment with LSTM hyperparameters like rnn_size and dropout
• visualize RNN training progress with TensorBoard
• resume interrupted training from a checkpoint

When to choose

• you want a minimal, readable char-RNN implementation for learning or research
• you need to train a text-generation model on a custom plain-text dataset
• you are reproducing classic char-rnn experiments in TensorFlow

When to avoid

• you need modern tooling — it requires TensorFlow 1.0 and is unmaintained
• you want transformer-based or production-grade language models
• you need GPU sampling during training or recent framework support

Facets

library · maturity abandoned

machine-learning deep-learning nlp machine-learning deep-learning python windows char-rnn lstm tensorflow language-model text-generation character-level natural-language-processing linux macos

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