optimagic-dev / optimagicLinks
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.
☆311Updated last 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.☆18Updated this week
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆285Updated last week
- ☆15Updated this week
- Simulate the spread of COVID-19 with different policies☆18Updated 3 weeks ago
- Solution and simulation of life cycle models in Python with GPU acceleration.☆23Updated this week
- Solve nonlinear heterogeneous agent models☆107Updated 2 months ago
- Framework for the simulation and estimation of some finite-horizon discrete choice dynamic programming models.☆80Updated last month
- Exploring and eliciting probability distributions☆161Updated 3 weeks ago
- Heterogenous Agents Resources & toolKit☆371Updated this week
- Powerful add-ons for PyMC☆131Updated last week
- Python package for the simulation and estimation of a prototypical infinite-horizon dynamic discrete choice model based on Rust (1987)☆25Updated 2 years ago
- ☆96Updated last year
- Economic modelling in python☆103Updated last year
- Tools to create executable dags from interdependent functions.☆16Updated this week
- pytask is a workflow management system that facilitates reproducible data analyses.☆135Updated this week
- Tutorial on Practical Numerical Optimization with SciPy, Estimagic and JAXopt - SciPy 2022☆21Updated 3 years ago
- The GErman Taxes and Transfers SIMulator☆64Updated last week
- A Package To Make Publication Quality Latex Tables From Python Regression Output☆46Updated last year
- Examples of PyMC models, including a library of Jupyter notebooks.☆362Updated this week
- Analyze people's behavior, fears and beliefs in the light of the COVID-19 crisis.☆12Updated 4 years ago
- ☆104Updated 5 years ago
- Dynamic Programming Volume 1☆111Updated last year
- Lectures on Quantitative Economics Using JAX☆48Updated last week
- Black-box abm calibration kit by the Bank of Italy☆58Updated 2 months ago
- website for numerical methods course☆81Updated last year
- Python wrapper for nuts-rs☆184Updated last week
- Quantitative Economics with Python☆113Updated this week
- CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan progra…☆189Updated last month
- BLP Demand Estimation with Python☆276Updated 4 months ago
- Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland☆157Updated 2 years ago