AMAS (Automatic Model Annotation System): (currently) predicting annotations of species and reactions of models in SBML format.

SBMLNetwork is a library designed to enable software developers and systems biologists to interact with the graphical representation of SBML (Systems Biology Markup Language) models.

This project aims to enhance the working environment on Windows

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Machine Learning models using a Bayesian approach and often PyMC3

some code for linlog model simulation

Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction

Given a list of EC numbers, parses through BRENDA to generate a spreadsheet of relevant reaction data ready to feed into ODBM.

Contains all relevant data of the 2023 GDP-Fucose paper.

Enzyme models that take into account kinetics, allostery and thermodynamics

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

libRoadRunner: A high-performance SBML simulator

StarGazer is a tool designed for rapidly assessing drug repositioning opportunities. It combines multi-source, multi-omics data with a novel target prioritization scoring system in an interactive P…