Compute the arithmetic mean along one or more ndarray dimensions, ignoring `NaN` values.
Run length encoded sparse ndarray
Take elements from a three-dimensional nested array.
Compute the arithmetic mean along one or more ndarray dimensions using an improved Kahan–Babuška algorithm.
Splat a sparse set of points onto an ndarray
Interchange two double-precision floating-point vectors.
2D cross correlation between ndarrays.
Generate pseudorandom numbers drawn from a Lévy distribution.
generate hard edges for voxel data
Math kernel in Typescript
Packs integer values from a 2D ndarray into an RGB one for storing as compressed images
atlaspack block textures from voxel-registry
Creates a mip mapped texture atlas from a list of tiles and uploads it to WebGL
Compute the arithmetic mean along one or more ndarray dimensions.
Compute the arithmetic mean along one or more ndarray dimensions, ignoring `NaN` values and using Welford's algorithm.
Given a heightmap, generate a "contoured" terrain mesh
Returns the highest points of a 3d ndarray as a 2d ndarray.
Load CSS tiles for a DOM tilemap.
<h1 align="center"> <br> <a href="https://github.com/keppel/weblearn-dqn"><img src="https://cloud.githubusercontent.com/assets/1269291/21950583/6d22659c-d9b1-11e6-8fb4-2d61b196b688.gif" alt="WebLearn DQN" width="400"></a> <br> WebLearn DQN <br>
Creates 1-bit GIF-images from an ndarray of bits
Compute the arithmetic mean along one or more ndarray dimensions, ignoring `NaN` values and using ordinary recursive summation.
Convert an image to an ndarray json file
Bindings to GDAL (Geospatial Data Abstraction Library) with full async support
Compute the arithmetic mean along one or more ndarray dimensions using pairwise summation.