berkerdemirel/data-structures

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C++
Created over 5 years ago
Updated over 4 years ago

berkerdemirel/data-structures

berkerdemirel

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C++ implementations of common data structures

Machine-Learning-From-Scratch

KNN, KMeans, Decision Tree, Naive Bayesian, Linear Regression, Principal Component Analysis, Neural Networks, Support Vector Machines all written in C++ from scratch.

decompl

DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image

Parallel-Breadth-First-Search-OpenMP-and-CUDA

Implementation of Direction Optimizing BFS in both OpenMP and CUDA (C++)

ADRMX

ADRMX: Additive Disentanglement of Domain Features with Remix Loss

Deep-Convolutional-Generative-Adversarial-Networks

Deep Convolutional Generative Adversarial Network implementation in Python.

Linear-Algebra

A big matrix class written in C++, that serves advanced linear algebra techniques like SVD, QR factorization, inverse and eigenvalues.

Statistics-Toolbox

A toolbox for ANOVA and Linear Regression

Jupyter Notebook

Expectation-Maximization-Algorithm

MATLAB Implementation of Expectation-Maximization Algorithm

Graph-Algorithms

Graph algorithms: traversal algorithms, detecting cycle, finding diameter, shortest path algorithms, finding node metrics and coloring algorithms

berkerdemirel.github.io

UMAP

Implementation of UMAP dimensionality reduction algorithm in Python

GPT-from-scratch

Re-implementation of Andrej Karpathy's nanoGPT

Sorting-Algorithms

Implementation of popular sorting algorithms in C++