CPMpy / XCP-explain
Explainable Constraint Solving - A Hands-On Tutorial
☆10Updated last week
Related projects: ⓘ
- Causal and probabilistic reasoning with continuous time dynamical systems☆16Updated this week
- Temporal Pathway Synthesizer☆16Updated 2 months ago
- Online Principal Component Analysis☆21Updated 2 years ago
- python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.☆54Updated last year
- Essential Software Engineering for Researchers☆9Updated 4 months ago
- Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology☆32Updated 2 weeks ago
- Various metaheuristic algorithms implemented in Python.☆50Updated 8 years ago
- Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…☆25Updated last week
- Mathematical Programming and Operations Research: Modeling, Algorithms, and Complexity. Examples in Python and Excel. Edited by Robert Hi…☆28Updated 6 months ago
- ☆13Updated last year
- Selected Topics in Mathematical Optimization, now in Julia☆51Updated 2 years ago
- Learn Julia in one workday!☆10Updated 4 years ago
- Imperial College London / Graduate School / Data Science / Introduction to Sampling & Hypothesis Testing☆11Updated 3 years ago
- A Python package for General Graphical Lasso computation☆30Updated 8 months ago
- SYMPHONY is an open-source solver, callable library, and development framework for mixed-integer linear programs (MILPs) written in C wit…☆66Updated 5 months ago
- Stochastic Gillespie-type simulations using Julia☆60Updated last month
- ☆17Updated 3 years ago
- Automatic Piecewise Linear Regression☆11Updated 2 weeks ago
- PySP: Stochastic Programming in Python☆40Updated 3 years ago
- DIP is a decomposition-based solver framework for mixed integer linear programs.☆17Updated 3 years ago
- universal Association Rule Mining Solver☆11Updated 2 months ago
- Toolbox for non-linear calibration modeling.☆24Updated last month
- StochPy is a versatile stochastic modeling package which is designed for stochastic simulation of molecular control networks☆39Updated last year
- Solver of multiobjective linear optimization problems: description and documents☆20Updated last year
- generalized principal component analysis (GLM-PCA) implemented in python☆56Updated 3 years ago
- Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA☆16Updated 2 years ago
- Cut Generator Library☆24Updated this week
- Use LSTM neural network for 1D distributional data prediction☆22Updated last year
- a collection of modern sparse (regularized) linear regression algorithms.☆63Updated 4 years ago
- Julia2925: learn a fast and intuitive programming language in two workdays.☆16Updated 7 months ago