Node.js module for using TensorFlow graphs and models
Tensorflow model converter for javascript
TensorFlow layers API in JavaScript
TensorFlow Data API in JavaScript
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/).
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
TensorFlow Decision Forests support for TensorFlow.js
For information please refer [here](https://github.com/tensorflow/tfjs/blob/master/tfjs-node/README.md).
TensorFlow record (.tfrecord) API for Node.JS and Browsers
High-performance TensorFlow Lite library for React Native, built with Nitro Modules
Scrypted Tensorflow Lite Object Detection
An open-source machine learning framework.
Hardware-accelerated JavaScript library for machine intelligence
Vanilla JavaScript backend for TensorFlow.js
GPU accelerated WebGL backend for TensorFlow.js
TensorFlow MediaPipe provider for @workglow/ai (browser only).
A library for running ONNX and TensorFlow inference in the browser.
A TensorFlow inference library for react native
TensorFlow.js GPU with native sm_120 (Blackwell) kernels — drop-in replacement for @tensorflow/tfjs-node-gpu
FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS
mobilenet model of tensorflow
Helper functions to use tensorflow in nodejs for transfer learning, image classification, and more
Scrypted Video Analysis Plugin. Installed alongside a detection service like OpenCV or TensorFlow.
resnet model of tensorflow
Rust language bindings for TensorFlow.
The package provides bindings to TensorFlow.
A Rust library that provides Rust to WebAssembly developers with syntax for using tensorflow functionality
The package provides runtime bindings to TensorFlow.
Rust structs for Tensorflow Protocol buffers.
A Rust library that provides Rust to WebAssembly developers with syntax for using tensorflow functionality
Tensorflow Docker Container Manager
A safe Rust wrapper of TensorFlow Lite C API supporting x86_64 and ARM (iOS, Android)
Rust WASM Bindings for the npm package `@tensorflow-models/pose-detection`
Protobuf codegen crate for tensorflow
A prebuilt tensorflow serving client from the tensorflow serving proto files
Adapter for Tensorflow tensors to expose the ndarray API
TensorFlow - the end-to-end machine learning platform - for Ruby
Ruby (PyCall/RubyPy) wrapper for the TensorFlow API.
Tensorflow bindings for ruby
A Ruby client library for Tensorflow Serving
A reimplementation of TensorFlow for ruby. This is a ground up implementation with no dependency on TensorFlow. Effort has been made to make the programming style as near to TensorFlow as possible, comes with a pure ruby evaluator by default as well with support for an opencl evaluator.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.