Convert a scalar value to a zero-dimensional ndarray having the same data type as a provided ndarray.
This repository hosts a set of pre-trained models that have been ported to TensorFlow.js.
Add singleton dimensions to an ndarray
Concatenate ndarrays by row (along the first dimension)
Compute the sum of all elements in a one-dimensional double-precision floating-point ndarray.
Determine the minimum ndarray data type for storing a provided signed integer value.
TypeScript definitions for numjs
Compute the sum of all elements in a one-dimensional single-precision floating-point ndarray.
Compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray.
C API for validating, extracting, and transforming (to native C types) function arguments provided to an ndarray Node-API add-on interface.
Determine the minimum ndarray data type of the closest kind necessary for storing a provided scalar value.
A support library for use with mobilenet-based models generated by Teachable Machine (https://g.co/teachablemachine)
Semantic Segmentation in the Browser: DeepLab v3 Model
Determine whether a scalar value can be safely cast or, for floating-point data types, downcast to specified ndarray data type.
Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
Reads the pixels of an image as an ndarray
TensorFlow record (.tfrecord) API for Node.JS and Browsers
The matrix of releases for tfjs-node-lambda.
Repeat an ndarray
Compute the sum of all elements in a one-dimensional ndarray.
Create a zero-filled ndarray having a specified shape and data type.
Compute the sum of all elements in a one-dimensional single-precision complex floating-point ndarray.
Test if a value is an ndarray-like object having a specified data type.
Apply a one-dimensional strided array function to a list of specified dimensions in an ndarray.