How statistically evaluate a ML/DL performance, before jumping to optimization.
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Updated
Aug 4, 2023 - Jupyter Notebook
How statistically evaluate a ML/DL performance, before jumping to optimization.
This repository contains schedule optimization for spice production, using genetic algorithms.
This repository is a collection of mathematical optimization algorithms and solutions for a variety of optimization problems. It provides a toolkit of algorithms and techniques for tackling optimization challenges in different domains.
Mass Transit Analytics Suite is the place for solutions related to public transportation optimization issues.
Here one can find documents and plots of our article of climb optimization.
This module provides an implementation of a genetic algorithm specifically tailored for solving the TSP.
This is an archive for coursework accumulated while taking a course in computation and optimization for statistics and statistical modeling
A repository containing an advanced Excel project leveraging the "Heritage Dairy Company" dataset, showcasing visualizations and insights derived from the data for global distribution analysis and forecasting.
Optimization of loss functions using R
Stokes prediction and algorithm optimization with Mathematica
Linear Optimization programs with C and GLPK
Boost investment returns with PyInvestor: Python-based tool for optimized stock allocation.
Code related to Optimization Techniques
A probabilistic programing library empowered with jax to speed up large simulations (still in progress!)
Implementation of Optimizatiom Algorithms with python.
Different optimization probelms and numerical approach to find the minimum point. Assignments,random projects
Implement the BA use levenberg-marquardt method. Different with Ceres, this project use the block struct to make the compute sparse. At the same time, we used the bal data set for optimization testing, the effect is as follows.
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