EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.

An example of easytorch implementation on retinal vessel segmentation.

my machine learning practices for my third year in MFCI CS department

Pada project ini, akan dilakukan identifikasi nilai mata uang rupiah dengan menggabungkan metode ekstrasi ciri Local Binary Pattern dan metode klasifikasi Naïve Bayes. Serta untuk pengukuran akurasi identifikasi dilakukan dengan metode evaluasi K-Fold Cross Validation. Dataset yang digunakan berupa citra dengan rincian terdapat 120 citra yang te…

This toolbox offers 7 machine learning methods for regression problems.

Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.

This toolbox offers 6 machine learning methods including KNN, SVM, LDA, DT, and etc., which are simpler and easy to implement.

MLB Team Runs Allowed Prediction Project (Linear Regression)

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.

Classification of mushrooms using decision tree in ID3 implementation

Implemented Linear Regression Algorithm from scratch to predict species in Iris data using k-fold cross validation

K-fold cross-validation implemented from scratch to aid in analysis of the MNIST dataset

Using the dataset compiled by Dean De Cock. Applying Feature Transformation, Feature Selection and K-fold Cross Validation

e2e machine learning pipeline using a config based approach for classification problems. Supports grouping and grading classifiers in addition to online learning algorithms

Implementing Linear Regression for various degrees and computing RMSE with k fold cross validation, all from scratch in python.

POS Tagger

Predicting Win/Loss/Draw on the Connect Four dataset with Tsetlin Machines

using Multi-Layer Perceptron (MLP) to analyze its different settings on the Iris and Glass identification datasets