Measures and metrics for image2image tasks. PyTorch.
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Updated
May 12, 2024 - Python
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.
The Deep Learning exercises provided in DataCamp
Uses SSIM and MSE to get rid of duplicates and near duplicates
Analytical formulas: построение аналитических формул с помощью генетического алгоритма.
Predict sales prices and practice feature engineering, RFs, and gradient boosting
Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.
Library for MSE to bootstrap ASGI/WSGI application
Difference between UINT8 and DOUBLE images during calculating PSNR
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
Implementation of a simple linear regression with single feature
Python library for Intel SGX DCAP remote attestation
MSE CLI to manage app mse on your localhost
Реализация модели линейной регрессии без использования специальных библиотек для задачи прогнозирования цены автомобиля в зависимости от его пробега; регуляризация; MSE, R-squared statistic; визуализация функций потерь и предсказаний цены по данной выборке
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