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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.
Resources on Music Generation with Deep Learning
| Date | Stars |
|---|---|
| 2026-07-31 | 728 |
| 2026-08-03 | 729 |
| 2026-08-06 | 729 |
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# music-generation-with-DL ## Papers - **Melody Generation for Pop Music via Word Representation of Musical Properties** (2017.10) [[arXiv](https://arxiv.org/abs/1710.11549)] [[Code](https://github.com/mil-tokyo/NeuralMelody)] - **Generating Nontrivial Melodies for Music as a Service** (2017.10) [[arXiv](https://arxiv.org/abs/1710.02280)] [[Page](https://composing.ai)] - **MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks** (2017.9) [[arXiv](https://arxiv.org/abs/1709.06298)] [[Page](https://salu133445.github.io/musegan/)] - **Similarity Embedding Network for Unsupervised Sequential Pattern Learning by Playing Music Puzzle Games** （2017.9）[[arXiv](https://arxiv.org/abs/1709.04384)] [[Page](https://remyhuang.github.io/DJnet)] - **A Tutorial on Deep Learning for Music Information Retrieval** (2017.9) [[arXiv](https://arxiv.org/abs/1709.04396)] - **Deep Learning Techniques for Music Generation - A Survey** (2017.9) [[arXiv](https://arxiv.org/abs/1709.01620)] - **Neural Translation of Musical Style** (2017.8) [[arXiv](https://arxiv.org/abs/1708.03535)] [[Page](http://imanmalik.com/cs/2017/06/05/neural-style.html)] - **GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures** (2017.7) [[arXiv](https://arxiv.org/abs/1707.04588)] - **Learning and Evaluating Musical Features with Deep Autoencoders** (2017.6) [[arXiv](https://arxiv.org/abs/1706.04486)] - **Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models** (2017.5) [[arXiv](https://arxiv.org/abs/1705.10843)] [[Code](https://github.com/gablg1/ORGAN)] - **MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions** - **ISMIR 2017** (2017.3) [[arXiv](https://arxiv.org/abs/1703.10847)] [[Page](https://richardyang40148.github.io/TheBlog/midinet_arxiv_demo.html)] - **Automatic Conversion of Pop Music into Chiptunes for 8-bit Pixel Art** - **ICASSP 2017** (2017.2) [[Paper](http://mac.citi.sinica.edu.tw/~yang/pub/su17icassp_8bit.pdf)] [[Code](https://github.com/LemonATsu/pop-to-8bit)] [[Page](https://lemonatsu.github.io)] - **C-RNN-GAN: Continuous Recurrent Neural Networks with Adversarial Training** (2016.11) [[arXiv](https://arxiv.org/abs/1611.09904)] [[Code](https://github.com/olofmogren/c-rnn-gan)] - **Tuning Recurrent Neural Networks with Reinforcement Learning - ICLR 2017** (2016.11) [[arXiv](https://arxiv.org/abs/1611.02796)] [[Web](https://magenta.tensorflow.org/2016/11/09/tuning-recurrent-networks-with-reinforcement-learning)] [[Code](https://github.com/tensorflow/magenta/tree/master/magenta/models/rl_tuner)] - **SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient** - **AAAI 2017** (2016.9) [[Paper](http://www.aaai.org/ocs/index.php/AAAI/AAAI17/paper/download/14344/14489)] [[Code](https://github.com/LantaoYu/SeqGAN)] - **Song From PI: A Musically Plausible Network for Pop Music Generation** - **ICLR 2017** [[arXiv](https://arxiv.org/abs/1611.03477)] - **Text-based LSTM networks for Automatic Music Composition** (2016.4) [[arXiv](https://arxiv.org/abs/1604.05358#)] [[Web](https://keunwoochoi.wordpress.com/2016/02/23/lstmetallica/)] [[Code](https://github.com/keunwoochoi/LSTMetallica)] - **Music Transcription Modelling and Composition Using Deep Learning** (2016.4) [[arXiv](https://arxiv.org/abs/1604.08723)] [[Code](https://github.com/IraKorshunova/folk-rnn)] - **Composing A Melody with Long-short Term Memory (LSTM) Recurrent Neural Networks** (2016.2) [[Web](http://konstilackner.github.io/LSTM-RNN-Melody-Composer-Website/)] [[Code](https://github.com/konstilackner/LSTM-RNN-Melody-Composer)] [[Paper](http://konstilackner.github.io/LSTM-RNN-Melody-Composer-Website/Thesis_final01.pdf)] - **Neural Adaptive Sequential Monte Carlo - NIPS 2015** (2015) [[Paper](http://papers.nips.cc/paper/5961-neural-adaptive-sequential-monte-carlo.pdf)] - **A Recurren
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ef205a90ada47a6d, topic:music-generation, readme:transcription, name:music generation
matched fp:ef205a90ada47a6d, topic:deep-learning
matched fp:ef205a90ada47a6d, topic:gan