An Elixir downsampling library that retains the visual characteristics of your data

The project was run in ROS and RViz simulation to practice 3D image segmentation and train a robot with SVM algorithm.

Sliding window functions for processing iterative timeseries data in python.

Collect data from Prometheus and downsampling

Collect data from Prometheus and downsampling

The given python code gives the data modeling and consists the following methods used: 1) Up sampling 2) Down sampling 3) Gridsearch for the selection of optimal combination of parameters 4) Application of Random Forest classifier 5) Dimensionality reduction using PCA

Bicubic interpolation for images (Python)

A workaround for InfluxDB CQ's

Gaussian/Laplacian Pyramids OpenCV

An algorithm that decimates a curve composed of line segments to a similar curve with fewer points.

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

The demo demonstrates downsampling images technique on the example of a UICollectionView based gallery with prefetching data.

Pointcloud-based frontier exploration using ROS, PCL and C++.

Synthetic Financial Datasets For Fraud Detection

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

Created algorithm in C to detect and highlight best image match with template (2 px accuracy) using pixelwise brute force. The algorithm is optimized by 16x to take less than 5 seconds per image-template pair on i7 processor by down-sampling.

Simulation of Downsampling, Harris Corner Detector, Canny Edge Detector, Triangulation, Stereo Reconstruction and Classification with Convolutional Neural Networks using Python

XAI - An eXplainability toolbox for machine learning

This project quite simply exists to help myself and others downsample csv files.