Pseudorandom number generator ndarray creation function tools.
Compute the arithmetic mean along one or more ndarray dimensions using a second-order iterative Kahan–Babuška algorithm.
Compute the arithmetic mean along one or more ndarray dimensions.
Compute the arithmetic mean along one or more ndarray dimensions using an improved Kahan–Babuška algorithm.
Run length encoded sparse ndarray
Compute the arithmetic mean along one or more ndarray dimensions using a two-pass error correction algorithm.
Interchange two double-precision floating-point vectors.
Splat a sparse set of points onto an ndarray
2D cross correlation between ndarrays.
Generate pseudorandom numbers drawn from a betaprime 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
Compute the arithmetic mean along one or more ndarray dimensions, ignoring `NaN` values and using Welford's algorithm.
Generate pseudorandom numbers drawn from a negative binomial distribution.
Compute the arithmetic mean along one or more ndarray dimensions, ignoring `NaN` values.
Creates a mip mapped texture atlas from a list of tiles and uploads it to WebGL
atlaspack block textures from voxel-registry
Returns the highest points of a 3d ndarray as a 2d ndarray.
Given a heightmap, generate a "contoured" terrain mesh
<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
Load CSS tiles for a DOM tilemap.
Bindings to GDAL (Geospatial Data Abstraction Library) with full async support