Plain python implementations of basic machine learning algorithms

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

Driver drowsiness is one of the causes of traffic accidents. According to the statistics; highway road crashes hold 11.09% of the total number of accidents. There are several reasons of drowsy driving such as: a lack of quality of sleep, may be overnight driving or having sleep disorders e.g. sleep apnea. However; all people should know that: Pe…

Tour of Machine Learning Algorithms for Binary/Multiclass Classification

A robust classifier for few-training-data problem based on a distributionally robust optimization framework

TFG realizado en la Universidad de Burgos del desarrollo de una aplicación para el uso de un Radar de 60 GHz de la marca Acconeer.

Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++

GeoAdEx: A geometric approach for finding minimum-norm adversarial examples on k-NN classifiers

A tool for clustering images using deep learning features and visualizing the results in organized grids.

Web interactive streamlit dashboard for credit scoring interpretation

PyTorch implementation of following: Transfer Learning, Feature Extraction from deep network, k-NN

Diverse algorithms related to Machine Learning

A basic fruit sorter using k-means and k-nn.

Audio Pattern Recognition project - Music Genres Classification

Clasificador de imagenes de bananas, naranjas y limones por medio de algoritmos de aprendizaje K-nn y K-means. Procesado de imágenes con SciKit y OpenCV.