SYLENS: Sampling Yielding LEss Noticeable Samples
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Updated
Feb 5, 2024 - Python
SYLENS: Sampling Yielding LEss Noticeable Samples
Utilities for transforming InfluxDB time series data
Helpful solution to reduce image size.
Helpful solution to reduce image size.
Create a model to predict if a customer will leave the bank.
Program to perform simple image manipulation like smoothing, rotating, downsampling, detecting edges (x derivative, y derivative and magnitude of gradients), and plotting the gradient vectors.
Native bindings to libsamplerate
Image pyramid generation for grayscale and segmentation image resize.
prometheus support auto-downsample with multiple levels for longterm data persistence, forked form prometheus v1.5.2.
Code and performance tests to demonstrate the COUNTLESS algorithm. https://medium.com/@willsilversmith/countless-high-performance-2x-downsampling-of-labeled-images-using-numpy-e70ad3275589
tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.
C++ implementation of the Largest Triangle Three Buckets (LTTB) downsampling algorithm
Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.
Collection of several downsampling methods for time series visualisation purposes.
Better image downscale with canvas.
Randomly subsample sequencing reads or alignments
Downsample plugin for Flot charts.
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