optimagic-dev / optimagic
optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.
☆287Updated this week
Alternatives and similar repositories for optimagic
Users that are interested in optimagic are comparing it to the libraries listed below
Sorting:
- Tools to work with pytrees.☆17Updated last month
- Analyze people's behavior, fears and beliefs in the light of the COVID-19 crisis.☆12Updated 3 years ago
- ☆13Updated last month
- The GErman Taxes and Transfers SIMulator☆57Updated this week
- Simulate the spread of COVID-19 with different policies☆18Updated last month
- Tools to create executable dags from interdependent functions.☆16Updated this week
- ☆92Updated 11 months ago
- Solution and simulation of life cycle models in Python with GPU acceleration.☆18Updated last week
- Framework for the simulation and estimation of some finite-horizon discrete choice dynamic programming models.☆77Updated last month
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆225Updated last week
- Solve nonlinear heterogeneous agent models☆89Updated 3 weeks ago
- pytask is a workflow management system that facilitates reproducible data analyses.☆121Updated last week
- Fully JAX-compatible python implementation of the DC-EGM algorithm from Iskhakov, Jorgensen, Rust, and Schjerning (QE, 2017).☆22Updated this week
- Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland☆155Updated last year
- A unified framework to solve and analyze heterogeneous-agent macro models.☆277Updated 2 months ago
- course on the basics of scientific computing for economists☆26Updated 2 years ago
- Python package for the simulation and estimation of a prototypical infinite-horizon dynamic discrete choice model based on Rust (1987)☆23Updated 2 years ago
- course on data science for economists☆91Updated 6 months ago
- BLP Demand Estimation with Python☆253Updated last week
- A package to simulate, filter, and estimate DSGE models with occasionally binding constraints☆59Updated 2 weeks ago
- Heterogenous Agents Resources & toolKit☆346Updated this week
- A graduate course on Computational Macroeconomics☆79Updated 2 weeks ago
- A Package To Make Publication Quality Latex Tables From Python Regression Output☆45Updated last year
- ☆10Updated 3 years ago
- Python and Julia Code for Structural Behavioral Economics☆47Updated 3 years ago
- Interactive guide to Fernández-Villaverde, Hurtado, and Nuño (2019): "Financial Frictions and the Wealth Distribution".☆89Updated 5 years ago
- Economic modelling in python☆100Updated 6 months ago
- Macros and functions to work with DSGE models.☆113Updated this week
- "Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly u…☆95Updated last year
- Code for the Spring 2022 heterogeneous-agent macro workshop☆101Updated 2 years ago