Measures and metrics for image2image tasks. PyTorch.

This repository adds noise to an image by performing color transfer and recovery between two images, then calculates PSNR between two images.

Uses SSIM and MSE to get rid of duplicates and near duplicates

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

Python library for Intel SGX DCAP remote attestation

Difference between UINT8 and DOUBLE images during calculating PSNR

Predict sales prices and practice feature engineering, RFs, and gradient boosting

Analytical formulas: построение аналитических формул с помощью генетического алгоритма.

This project provides a tool to compare two images using various similarity metrics, including histograms, structural similarity index (SSIM), mean squared error (MSE), mean absolute error (MAE), feature matching, and image hashing.

Repository ini dibuat untuk menampung code penghitungan MSE, SNR, dan PSNR untuk melakukan perbandingan Metode Compression Lossless dan Lossy

MicroService Encryption CLI

Spatial Environmental Assessment Toolkit (SEAT) QGIS Plugin

MSE CLI to manage app mse on your localhost

The Deep Learning exercises provided in DataCamp

Image inpainting using OpenCV & DeepFillv2

regresspy for simple regressions

선물 지수와 주가의 상관 관계에 대한 연구와 분석

A simple Linear Regression project from scratch in Python 3.

Mini-learn is a miniature version of tensor-flow which I made with ONLY NUMPY to play with perceptrons. You can use this project like you use tflearn. Go to https://github.com/Satyaki0924/boston-housing-with-minilearn to see it's usage.

Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood