Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
- deep-reinforcement-learning
- generative-model
- vae
- molecule-generation
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C++ modules for scalar, vector and complex math. And maths.
- cpp20
- math
- mathematics
- vectors
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning
A collection of swift playground about mathematics.
This is a class module in beta state to implement computations with large integers and reals/rationals numbers, while proposing representation of numerical values as scientific notation, allowing to obtain several cohorts for the same number (a lot of fun!).
- arithmetic
- biginteger
- biginteger-library
- fractional
DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies
A common interface used for modeling Mathematical Programs (e.g., Convex Optimization problems) in the language Go (Golang).
- convex-optimization
- linear-programming
- optimization
- quadratic-programming
GNN-based gene-selection deep learning model for drug response prediction