The objective of the project is to provide comparative analysis of quadratic and linear models on simulated data. Plotted residual plots using R for evaluating performance of models.

A simple way to remove stretches in strings

💡 Análise do descarte ambientalmente adequado dos resíduos eletrônicos

🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network

Análise do descarte ambientalmente inadequada dos resíduos eletrônicos

Deep Learning Basic Module built with Pytorch

Learning to Hide Residual for Boosting Image Compression (BMVC 2021)

Diffusion based method for impulse noise removal using residual feedback

This repository includes my solutions to the most important computer assignments of deep learning specialization by deeplearning.ai.

IncResNet is a convolutional neural network architecture designed for the task of human age recognition, implemented using TorchSharp library. It was created as a part of project carried out at course “Introduction to Machine Learning” at the Warsaw University of Technology.

Tensorflow implementation of Learning Residual Images for Face Attribute Manipulation

Moving Grubbs' test for outliers.

INCOMPRESSIBLE FLOW IN LID DRIVEN CAVITY FLOW USING SEMI IMPICIT METHOD FOR PRESSURE CORRECTION

Visualize each iteration of ICP-like algorithms in RViz, including residuals, normals, correspondences.

Grubbs' test for outliers.

Clean up Windows software uninstall residual files. 清理Windows软件卸载残留。

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

Official Repository of "Capacity Info". Link to Google Play:

Modular Python tool for parsing, analyzing, and visualizing Global Navigation Satellite Systems (GNSS) data and state estimates

Diagnostics for HierArchical Regession Models