🎯📈 Sequantial and model-based optimization
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Updated
Mar 11, 2025 - Python
🎯📈 Sequantial and model-based optimization
A simple and easy-to-use CLI application that can be used to solve optimization math problems!
Optimize both discrete and continuous variables using just a continuous optimizer such as in scipy.optimize
ANN based Surrogate model optimization of airfoil using XFOIL
1D shimming coil design and optimisation algorithm
Solving the Soft Margin Support Vector Machine by scipy.optimize
Implement the SfM pipeline using fundamental matrix, PnP, and Bundle Adjustment for pose estimation and 3D reconstruction of a 3D scene (WPI Unity Hall for this project)
Data-oriented Python course taught for all Mercado Libre verticals
1D shimming coil design and optimisation algorithm
Own interpretation of CORN algorithm, implemented in Python 3
Explore the Engineering System Optimization (MDAO) repo for tutorials on advanced engineering design optimization techniques. This resource offers hands-on guides to help you master multidisciplinary design optimization (MDO) through practical examples and use cases.
an extension of signed sklearn.linear_model.ElasticNet
Knapsack problem optimization of McDonald's order
A list of optimization packages in Python with the same API as scipy.optimize
Assignment for building a system of equations solver from scratch and comparing them with existing solvers.
A project which can be used to train a svm classifier and test it.
A simple wrapper around scipy.optimize.curve_fit to simplify fitting with parameter specifications defined by dataclass fields.
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