Search results
23 packages found
Collection of ~170 lightweight, composable transducers, reducers, generators, iterators for functional data transformations
- 1d
- 2d
- 3d
- array
- clojure
- composition
- convolution
- cycle
- filter
- flatten
- frequency
- functional
- fuzzy
- generator
- View more
Maintenance: 33%. Quality: 56%. Popularity: 8%.
Package for encoding / decoding images, transforming images, applying filters, drawing primitives on images on the client side (no need for server Node.js)
Maintenance: 33%. Quality: 54%. Popularity: 3%.
Extensible bitmap image convolution, kernel presets, normal map & image pyramid generation
Maintenance: 33%. Quality: 56%. Popularity: 1%.
Simple, unoptimized 1D and 2D convolution functions for typed-arrays
Maintenance: 33%. Quality: 43%. Popularity: 2%.
FFT for ndarrays
Maintenance: 2%. Quality: 61%. Popularity: 7%.
fft
Maintenance: None. Quality: 63%. Popularity: 6%.
Iterable convolution for JavaScript
Maintenance: None. Quality: 64%. Popularity: 0%.
Simple direct and extendable convolution library.
Maintenance: 10%. Quality: 51%. Popularity: 0%.
GPU Powered Neural Networks for every Browser
Maintenance: None. Quality: 61%. Popularity: 0%.
Collection of functions for vector math. `MathVector` introduces missing in JavaScript type `VectorAdapter`. Vector adapter is an implementation of the abstract interface, a kind of link that defines how to interpret data as the vector. The adapter could
Maintenance: None. Quality: 55%. Popularity: 4%.
Computes a prefix sum of an ndarray
Maintenance: 2%. Quality: 52%. Popularity: 3%.
Abstract implementation of matrix math. MathMatrix introduces class Matrix, which is a multidimensional structure which, in the most trivial case, is a 2D matrix. A matrix of specific form could also be classified as a vector. MathMatrix heavily relly on
Maintenance: None. Quality: 55%. Popularity: 2%.
Collection of functions to operate such geometrical concepts as Sphere, Box, Plane, Frustum, Ray, Axis and Angle, Euler's Angles, Quaternion and other. Why MathModels? Three reasons. All functions of the module are purely functional. MathModels heavily re
Maintenance: None. Quality: 55%. Popularity: 2%.
make histogram and analyze it
Maintenance: None. Quality: 52%. Popularity: 2%.
Raster image processing functions written in TypeScript
- affine transformation
- bicubic
- bilinear
- bitmap
- compositing
- convolution
- flip
- Gaussian blur
- image
- image processing
- interpolation
- mirror
- pixelation
- raster
- View more
Maintenance: None. Quality: 55%. Popularity: 0%.
Aggregates other math modules in single module.
Maintenance: None. Quality: 55%. Popularity: 0%.
A pure JavaScript raster image processing engine.
- bicubic
- bilinear
- compositing
- convolution
- flip
- Gaussian blur
- image processing
- jpeg
- mirror
- pixelate
- raster
- resample
- resampling
- rotate
Maintenance: None. Quality: 52%. Popularity: 2%.
calculate square matrix - gaussian blur convolution kernel
Maintenance: None. Quality: 49%. Popularity: 2%.
A node.js image processing library
- Image
- Pixel
- Image Processing
- Computer Vision
- Fourier
- Fourier Transform
- Fast Fourier Transform
- Frequency Domain
- Low Pass Filter
- High Pass Filter
- Gaussian
- Filter
- Kernel
- Convolution
- View more
Maintenance: None. Quality: 51%. Popularity: 0%.
Image convolutions, given sorts of image effects
Maintenance: None. Quality: 51%. Popularity: 0%.