berkerdemirel

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

GPT-from-scratch

Re-implementation of Andrej Karpathy's nanoGPT

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

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

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

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

berkerdemirel.github.io

data-structures

C++ implementations of common data structures

Sorting-Algorithms

Implementation of popular sorting algorithms in C++

UMAP

Implementation of UMAP dimensionality reduction algorithm in Python

DomainBed

DomainBed is a suite to test domain generalization algorithms