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
Open source remote sensing dataset with benchmarks
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
scPerturb: A resource and a python/R tool for single-cell perturbation data
🏃 The go-to single-cell Foundation Model
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Using a Kalman Filter to interpolate bus position based on periodic measurements
A GTFS-based data transit network data standard suitable for dynamic transit modeling.
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
GTFS Data Pipeline for TfNSW Bus Datasets