Differentiable Programming Algorithms in Modern C++
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Updated
Jul 23, 2025 - LLVM
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.
đź“” This repository is for storing my Higher Mathematics learning journey
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Lightweight Machine Learning Classics with R (Book Draft)
Multi-objective optimisation framework in Rust
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
A Python library for anti-clustering algorithms
Application of genetic algorithm in feature selection.
A quick template for branch and price prototypes
Interactive demo of Hooke_Jeeves and Powell algorithms used for direct-search function optimisation.
This Repo contains - Starter files, Coursework, Programming Assignments for the Master Algorithmic Programming Techniques Specialization Course -- offered by UC San Diego, Coursera.
PyJackson:Implementation of a mathematical model in Python to solve an assignment problem in Job Shop environments. With its respective Gantt chart.
Constrained Derivative Function Optimisation
MultiObjectiveFAEICA-Algorithm (Multi-objective fuzzy adaptive optimisation approach)
Simplex method C++ implementation (a student work)
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