Differentiable Programming Algorithms in Modern C++
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Updated
Nov 9, 2024 - C++
Differentiable Programming Algorithms in Modern C++
Meta-heuristic optimisation suite for python
A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.
📔 This repository is for storing my Higher Mathematics learning journey
Performing Foreground Detection in videos using RPCA with ADMM algorithm
Lightweight Machine Learning Classics with R (Book Draft)
Breast cancer detection using 4 different models i.e. Logistic Regression, KNN, SVM, and Decision Tree Machine Learning models and optimizing them for even a better accuracy.
NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynamics Lab at Newcastle University.
Feature Selection using Simulated Annealing
Multi-objective optimisation framework in Rust
Application of genetic algorithm in feature selection.
Interactive demo of Hooke_Jeeves and Powell algorithms used for direct-search function optimisation.
A quick template for branch and price prototypes
A Python library for anti-clustering algorithms
This Repo contains - Starter files, Coursework, Programming Assignments for the Master Algorithmic Programming Techniques Specialization Course -- offered by UC San Diego, Coursera.
Constrained Derivative Function Optimisation
PyJackson:Implementation of a mathematical model in Python to solve an assignment problem in Job Shop environments. With its respective Gantt chart.
This repository is created to focus on code optimisation. Today in the world of programming, where everywhere - everything is getting coded. It is very important to write optimised code. We need to focus on various complexities involved.
Simplex method C++ implementation (a student work)
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