jcjohnson/torch-rnn
A high-performance RNN and LSTM library for torch7 used for character-level language modeling.
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torch-rnn provides reusable recurrent neural network modules built on the torch7 framework. It offers both standard RNN and LSTM implementations with no dependencies beyond torch and nn, making it easy to integrate into existing projects. The library is optimized for performance and memory efficiency compared to the reference char-rnn implementation. It includes modules for character-level language modeling tasks.
Frequently asked
- What is jcjohnson/torch-rnn?
- A high-performance RNN and LSTM library for torch7 used for character-level language modeling.
- Is torch-rnn open source?
- Yes — jcjohnson/torch-rnn is open source, released under the MIT license.
- What language is torch-rnn written in?
- jcjohnson/torch-rnn is primarily written in Lua.
- How popular is torch-rnn?
- jcjohnson/torch-rnn has 2.6k stars on GitHub.
- Where can I find torch-rnn?
- jcjohnson/torch-rnn is on GitHub at https://github.com/jcjohnson/torch-rnn.