XAI - An eXplainability toolbox for machine learning
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Updated
Oct 30, 2021 - Python
XAI - An eXplainability toolbox for machine learning
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
Bicubic interpolation for images (Python)
A library for real-time voice processing in web browsers
High-performance time series downsampling algorithms for visualization
PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images
Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.
An Elixir downsampling library that retains the visual characteristics of your data
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.
Ansible role to setup downsampling with continuous queries on influxDB, optionally with backfilling and compaction of existing raw data.
Simple sinc interpolation in PyTorch.
An algorithm that decimates a curve composed of line segments to a similar curve with fewer points.
Native bindings to libsamplerate
Pointcloud-based frontier exploration using ROS, PCL and C++.
Gaussian/Laplacian Pyramids OpenCV
A moiré-free image resizing script for Photoshop
Collect data from Prometheus and downsampling
The project was run in ROS and RViz simulation to practice 3D image segmentation and train a robot with SVM algorithm.
Helpful solution to reduce image size.
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