Differentiable Programming Algorithms in Modern C++
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Updated
May 22, 2024 - C++
Differentiable Programming Algorithms in Modern C++
A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.
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.
Simplex method C++ implementation (a student work)
Feature Selection using Simulated Annealing
Application of genetic algorithm in feature selection.
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.
Lightweight Machine Learning Classics with R (Book Draft)
This Repo contains - Starter files, Coursework, Programming Assignments for the Master Algorithmic Programming Techniques Specialization Course -- offered by UC San Diego, Coursera.
Meta-heuristic optimisation suite for python
FuzzyMSFLA-Algorithm (Fuzzy adaptive optimisation method)
Performing Foreground Detection in videos using RPCA with ADMM algorithm
An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students. (Project submission for Hack&Roll 2022)
CUDD Library in C for visualizing digital logic as BDDs( Binary Decision Digrams)
RWH optimisation using advanced OR techniques. Project built during national finals of Smart India Hackathon 2019. Team Six Nearest Neighbors. For AM2, Goldman Sachs.
Constrained Derivative Function Optimisation
FuzzyACOR-Algorithm (Adaptive fuzzy metaheuristic based optimisation algorithm)
The two-spiral Problem solved using the Stochastic Gradient Descent optimiser.
A quick template for branch and price prototypes
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