Differentiable Programming Algorithms in Modern C++
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Updated
Nov 30, 2024 - 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.
📔 This repository is for storing my Higher Mathematics learning journey
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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.
A quick template for branch and price prototypes
Interactive demo of Hooke_Jeeves and Powell algorithms used for direct-search function optimisation.
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.
Simplex method C++ implementation (a student work)
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.
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