Design new drugs using advanced techniques in deep reinforcement learning.
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Free · no card · unsubscribe anytimeDeep Reinforcement Learning for de-novo Drug Design
ReLeaSE has 370 stars on GitHub. It has been forked 136 times. ReLeaSE is written mainly in Jupyter Notebook. It has been in active development since 2018. ReLeaSE is available under the MIT license. Its main topics are cheminformatics, deeplearning, drug-discovery, molecular-modeling.
What is ReLeaSE?
Deep Reinforcement Learning for de-novo Drug Design
Is ReLeaSE open source?
ReLeaSE is an open-source project. It is released under the MIT license.
Is ReLeaSE free?
Yes. ReLeaSE is free and open source — you can use, modify and self-host it.
What license does ReLeaSE use?
ReLeaSE is available under the MIT license.
What language is ReLeaSE written in?
ReLeaSE is written mainly in Jupyter Notebook.
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