📈 linear, ridge, logistic regression; k-NN; naive Bayes; SGD; neural networks; PCA; Isomap; k-means; GMM; SVM; CycleGAN

Flask RestApi for given raw data from Postman and post it into PostgreSQL

Most Popular Unsupervised Models

Draw shapes with mouse, save, and replay them on Google Map Maker

Statistical imitator of network traffic

Creating customer segments using unsupervised learning algorithms

Gaussian Mixture Model with low rank approximation

Machine Learning Course [ECE 501] - Spring 2023 - University of Tehran - Dr. A. Dehaqani, Dr. Tavassolipour

Automatic Speech Recognition

VLFeat on MacOS

This repo contains example implementation of K means and GMM clustering algorithms in tensorflow

Fast explication of Gaussian Mixture model for clustering

Bayesian based machine learning implementations (GMM, VAE & conditional VAE).

Official Implementation of Context-Dependent Gene Regulatory Networks (CDGRNs)

This is an approach towards reproducing the stauffer-grimson background Subtraction Paper, "Adaptive background mixture models for real-time tracking" published in 1999. A recreation of stauffer grimson background subtraction. One of the earliest and pioneering works that led to modern Computer Vision.

Undergraduate honours project exploring learning Gaussian Mixture Models with negative components.