Toolkit for discovering and aggregating data for whole-cell modeling
- Updated
Jan 19, 2022 - Python
Toolkit for discovering and aggregating data for whole-cell modeling
A comprehensive research platform for Physics-Informed Neural Networks (PINNs) featuring 10+ applications including forward/inverse problems, data assimilation, and scientific discovery with interactive web interface.
Utilities for building standardized command-line interfaces for biosimulation software packages
A GUI-tool for computing Nash flows over time with or without spillback as well as (spillback) thin flows.
An AlphaEvolve-inspired project using evolutionary symbolic regression to automatically discover mathematical laws governing global carbon intensity from real-world energy data.
Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.
"The Universal Law of Coherent Evolution (ERS Framework & PEF Equation) - Demonstrating the inherent generative principles of reality, from pattern formation to consciousness."
🔄 Discover how oscillations emerge as a mathematical necessity in complex systems. A rigorous framework proving C+A=1 with 10^-16 precision. 📊 Visualize adaptability landscapes & spectral fingerprints.
Mathematical modeling and simulation for optimizing parcel pickup efficiency at a campus delivery station.
Этот репозиторий содержит материалы для выполнения лабораторных работ по курсу "Моделирование систем" . Здесь вы найдете реализации различных моделей, включая: Моделирование случайных величин. Анализ систем массового обслуживания (СМО). Статистический анализ данных. Сравнение алгоритмов сортировки и другие задачи.
Recursive Attractor Principle - Biological validation framework
Unleash the power of mathematics with this interactive Graph Generator! 🧮📈 Visualize Cartesian, Parametric, Polar, and 3D Surface equations dynamically. Simply enter your mathematical expression, tweak the parameters, and watch your graph come to life! 🚀🎨
Agricultural optimization system for CUMCM 2024 Problem C - Progressive modeling from basic LP to advanced correlation optimization with uncertainty handling and strict constraint validation.
Python + Pyomo implementation of the problems in the book "Model building in mathematical programming" by H. Paul Williams
🚀 微分方程数值求解工具集:变量分离法与齐次方程求解器 基于数值积分与求根算法的一阶常微分方程求解工具,支持变量分离型方程(dy/dx = f(x)g(y))和齐次方程(dy/dx = g(y/x))的高精度数值求解,内置误差分析与可视化功能。
pyNeuroML simulation program via BioSimulators-compliant command-line interface and Docker container
A relationship of predator and prey population density described using Lotka-Volterra model.
A collection of classes that solve common quantitative biology problems and plot the results via plot.ly
Advanced numerical methods & optimization library. Includes custom optimization algorithms, PDE solvers, and multidimensional visualizations.
Malaria transmission model with ITN effects and resistance for Madagascar. Python, R, and Jupyter implementations with comprehensive testing and documentation.
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