Expand the shape of an array to a specified dimensionality by spreading its dimensions to specified dimension indices and inserting dimensions of size one for the remaining dimensions.
Reorder ndarray dimensions and associated strides for loop interchange.
Node.js module for using TensorFlow graphs and models
Create a vector (i.e., a one-dimensional ndarray).
Convert a scalar value to a zero-dimensional ndarray.
Speech-command recognizer in TensorFlow.js
Apply a callback to elements in an input ndarray and assign results to elements in an output ndarray.
Resolve a loop block size for multi-dimensional array tiled loops.
Return the number of elements in an ndarray.
Data visualization toolkit
Create a function for performing a reduction on a provided ndarray.
Statistical moments of ndarrays
Perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function and assign results to a provided output ndarray.
This packages provides a set of APIs to load and run models produced by AutoML Edge.
Create a zero-filled ndarray having the same shape and data type as a provided ndarray.
Constructor for performing a reduction on an input ndarray.
Get 4-channel pixels array from an ndarray or nested array
Serialize ndarray meta data.
Displays an ndarray as an image
Fill an input ndarray according to a callback function.
C API for returning the ndarray data type corresponding to a Node-API typed array type.
Fill an input ndarray according to a callback function.
Remove singleton dimensions from an ndarray
Concatenate ndarrays by row (along the first dimension)