XAI - An eXplainability toolbox for machine learning

Bicubic interpolation for images (Python)

Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023

Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Simple sinc interpolation in PyTorch.

A project on Image Processing, leveraging PyQt5 for a user-friendly GUI and implementing essential operations like Low Pass Filter, Downsampling, Upsampling, Thresholding, and Negative Image Generation. It offers a visually engaging experience while exploring the realm of image processing techniques.

Sliding window functions for processing iterative timeseries data in python.

Red neuronal para sub-muestrear espacialmente imágenes. Proyecto realizado para la asignatura de Inteligencia Artificial en la Pontifica Universidad Javeriana.

Downsampling algorithms for Python written in C

A university project in which the system signal downsampling course is implemented with Python with two methods

Different strategies for Downsampling: Downsampling is not just throwing a read

image down-sampling technique using the Fast Fourier Transform (FFT) method in Python and MATLAB

Python library for processing of volumetric data and segmentations.

Automated tool that creates and manages downsampling tasks for InfluxDB. It discovers measurements and fields in your source buckets, creates downsampled copies at configurable intervals and retention periods, and generates Flux query tasks with intelligent offset scheduling to avoid thundering-herd problems.