Deep Reinforcement Learning for de-novo Drug Design
- deeplearning
- reinforcement-learning
- cheminformatics
- molecular-modeling
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Deep Reinforcement Learning for de-novo Drug Design
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Urban Informatics and Visualization (UC Berkeley CP255)
Python for chemoinformatics
The repository host gives no description.
:snake: Python Implementation for KITTI Scan Unfolding
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.