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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Recurrent Neural Network - A curated list of resources dedicated to RNN
| Date | Stars |
|---|---|
| 2026-07-31 | 6210 |
| 2026-08-02 | 6210 |
| 2026-08-04 | 6210 |
| 2026-08-05 | 6210 |
| 2026-08-06 | 6210 |
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# Awesome Recurrent Neural Networks A curated list of resources dedicated to recurrent neural networks (closely related to *deep learning*). Maintainers - [Myungsub Choi](https://github.com/myungsub), [Taeksoo Kim](https://github.com/jazzsaxmafia), [Jiwon Kim](https://github.com/kjw0612) We have pages for other topics: [awesome-deep-vision](https://github.com/kjw0612/awesome-deep-vision), [awesome-random-forest](https://github.com/kjw0612/awesome-random-forest) ## Contributing Please feel free to [pull requests](https://github.com/kjw0612/awesome-rnn/pulls), email Myungsub Choi ([email protected]) or join our chats to add links. The project is not actively maintained. [](https://gitter.im/kjw0612/awesome-rnn?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) ## Sharing + [Share on Twitter](http://twitter.com/home?status=http://jiwonkim.org/awesome-rnn%0AResources%20for%20Recurrent%20Neural%20Networks) + [Share on Facebook](http://www.facebook.com/sharer/sharer.php?u=https://jiwonkim.org/awesome-rnn) + [Share on Google Plus](http://plus.google.com/share?url=https://jiwonkim.org/awesome-rnn) + [Share on LinkedIn](http://www.linkedin.com/shareArticle?mini=true&url=https://jiwonkim.org/awesome-rnn&title=Awesome%20Recurrent%20Neural&Networks&summary=&source=) ## Table of Contents - [Codes](#codes) - [Theory](#theory) - [Lectures](#lectures) - [Books / Thesis](#books--thesis) - [Architecture Variants](#architecture-variants) - [Structure](#structure) - [Memory](#memory) - [Surveys](#surveys) - [Applications](#applications) - [Natural Language Processing](#natural-language-processing) - [Language Modeling](#language-modeling) - [Speech Recognition](#speech-recognition) - [Machine Translation](#machine-translation) - [Conversation Modeling](#conversation-modeling) - [Question Answering](#question-answering) - [Computer Vision](#computer-vision) - [Object Recognition](#object-recognition) - [Image Generation](#image-generation) - [Video Analysis](#video-analysis) - [Multimodal (CV+NLP)](#multimodal-cv--nlp) - [Image Captioning](#image-captioning) - [Video Captioning](#video-captioning) - [Visual Question Answering](#visual-question-answering) - [Turing Machines](#turing-machines) - [Robotics](#robotics) - [Other](#other) - [Datasets](#datasets) - [Blogs](#blogs) - [Online Demos](#online-demos) ## Codes * [Tensorflow](https://www.tensorflow.org/) - Python, C++ * [Get started](https://www.tensorflow.org/versions/master/get_started/index.html), [Tutorials](https://www.tensorflow.org/versions/master/tutorials/index.html) * [Recurrent Neural Network Tutorial](https://www.tensorflow.org/versions/master/tutorials/recurrent/index.html) * [Sequence-to-Sequence Model Tutorial](https://www.tensorflow.org/versions/master/tutorials/seq2seq/index.html) * [Tutorials](https://github.com/nlintz/TensorFlow-Tutorials) by nlintz * [Notebook examples](https://github.com/aymericdamien/TensorFlow-Examples) by aymericdamien * [Scikit Flow (skflow)](https://github.com/tensorflow/skflow) - Simplified Scikit-learn like Interface for TensorFlow * [Keras](http://keras.io/) : (Tensorflow / Theano)-based modular deep learning library similar to Torch * [char-rnn-tensorflow](https://github.com/sherjilozair/char-rnn-tensorflow) by sherjilozair: char-rnn in tensorflow * [Theano](http://deeplearning.net/software/theano/) - Python * Simple IPython [tutorial on Theano](http://nbviewer.jupyter.org/github/craffel/theano-tutorial/blob/master/Theano%20Tutorial.ipynb) * [Deep Learning Tutorials](http://www.deeplearning.net/tutorial/) * [RNN for semantic parsing of speech](http://www.deeplearning.net/tutorial/rnnslu.html#rnnslu) * [LSTM network for sentiment analysis](http://www.deeplearning.net/tutorial/lstm.html#lstm) * [Pylearn2](http://dee
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:87f3cbf41ee09c71, desc:curated list