Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

Learning to create Machine Learning Algorithms

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Essential NLP & ML, short & fast pure Python code

GloVe word vector embedding experiments (similar to Word2Vec)

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN

Model-Free-Episodic-Control implementation.

This is the official code for our paper "Simple and Scalable Nearest Neighbor Machine Translation" (ICLR 2023).

Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.

knn with cosine similarity (distance)

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

Car Accident Severity Analysis - Seattle Washington (Machine Learning Application)

Recommendation System sever for Projectube developed by insource team of VietCode company using K-nearest neighbors and cosine similarity algorithms

Introducing "spotify-recommender-api", a pip package that uses an adaptation of the KNN algorithm to make personalized song recommendations for users. It analyzes your Spotify listening stats and suggests new tracks you may enjoy, and also clusters similar songs on a big playlist in order to help one find songs that play well in a smaller playlist

The FaceAB software is a graphical interface program that uses advanced machine learning algorithms to perform real-time face recognition, age prediction, and gender prediction. Developed by Mohamad Aboud

An implementation of a density based outlier detection method - the Local Outlier Factor Technique, to find frauds in credit card transactions. For detecting both local and global outliers.

Spherical k-nearest neighbors interpolation (geospatial interpolator)

"Instagram Hashtag Generator" analyzes an image and gives back some hashtags based on a prediction of binary classifiers. It is possible to use two different classifiers, a classifier based on Logistic Regression and the other one on k-nearest neighbors.