Tensorflow model converter for javascript
Hardware-accelerated JavaScript library for machine intelligence
An open-source machine learning framework.
Multidimensional Arrays
Vanilla JavaScript backend for TensorFlow.js
GPU accelerated WebGL backend for TensorFlow.js
ndarray-pixels
TypeScript definitions for ndarray
TensorFlow layers API in JavaScript
TensorFlow Data API in JavaScript
Common operations for ndarray arrays
Return a data type from a string representing the type
This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).
Resize an ndarray with Lanczos resampling
BLAS Level 1 operations for ndarrays
This package adds a WebAssembly backend to TensorFlow.js. It currently supports the following models from our [models](https://github.com/tensorflow/tfjs-models) repo: - BlazeFace - BodyPix - CocoSSD - Face landmarks detection - HandPose - KNN classifier
LU decomposition using the crout algorithm
Packs an array-of-arrays into a single ndarray
Multidimensional arrays.
invert a 2d matrix using Gaussian elimination
Pooled memory for ndarrays
Cholesky Factorization of ndarrays
Validates if a value is ndarray-like.
Reads the pixels of an image as an ndarray