Difference between revisions of "Generative Tensorial Reinforcement Learning (GENTRL)"
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* [[Clustering]] | * [[Clustering]] | ||
* [[Variational Autoencoder (VAE)]] | * [[Variational Autoencoder (VAE)]] | ||
| + | * [http://www.nature.com/articles/s41587-019-0224-x#MOESM3 Deep learning enables rapid identification of potent DDR1 kinase inhibitors | A. Zhavoronkov, Y. Ivanenkov, A. Aliper, M. Veselov, V. Aladinskiy, A. Aladinskaya, V. Terentiev, D. Polykovskiy, M. Kuznetsov, A. Asadulaev, Y. Volkov, A. Zholus, R. Shayakhmetov, A. Zhebrak, L. Minaeva, B. Zagribelnyy, L. Lee, R. Soll, D. Madge, L. Xing, T. Guo & A. Aspuru-Guzik] | ||
| + | ** [https://github.com/insilicomedicine/gentrl GENTRL | GitHub] | ||
| + | A deep generative model, generative tensorial reinforcement learning (GENTRL) | ||
Revision as of 16:52, 9 September 2019
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- Neural Network Zoo | Fjodor Van Veen
- Autoencoder (AE) / Encoder-Decoder
- Clustering
- Variational Autoencoder (VAE)
- Deep learning enables rapid identification of potent DDR1 kinase inhibitors | A. Zhavoronkov, Y. Ivanenkov, A. Aliper, M. Veselov, V. Aladinskiy, A. Aladinskaya, V. Terentiev, D. Polykovskiy, M. Kuznetsov, A. Asadulaev, Y. Volkov, A. Zholus, R. Shayakhmetov, A. Zhebrak, L. Minaeva, B. Zagribelnyy, L. Lee, R. Soll, D. Madge, L. Xing, T. Guo & A. Aspuru-Guzik
A deep generative model, generative tensorial reinforcement learning (GENTRL)
