residual

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

Diagnostics for HierArchical Regession Models

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

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

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

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

Grubbs' test for outliers.

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

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.

Normative OES-32 residual reference (ADR-001): deterministic max-abs residual over two 32-vectors, strict > tolerance failure rule, contract tests. SYNTHETIC inputs only.

Highly configurable, expanded, and research friendly implementation of Residual Networks (ResNet) in PyTorch.

Deep Learning Basic Module built with Pytorch

PyTorch implementation of SRResNet and SRGAN for single image super-resolution. Includes training, evaluation, and utility scripts for generating high-resolution images from low-resolution inputs.

Heterogeneous residual-guided fuzzing engine: coverage + compare + residual structure + DSFB endoduction + FRF verification + Gemel longitudinal memory.

OES-512 = 16 × OES-32 residual blocks: weighted latch reference, seed-42 SYNTHETIC benchmark, browser avatar. Not operational.