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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
| Date | Stars |
|---|---|
| 2026-07-24 | 5188 |
| 2026-07-25 | 5188 |
| 2026-07-28 | 5188 |
| 2026-07-30 | 5188 |
| 2026-07-31 | 5191 |
| 2026-08-05 | 5193 |
| 2026-08-06 | 5194 |
Today
+1 stars today
This week
+6 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.12%/day
<p align="center"> <img width=150 src="https://raw.githack.com/tensorspace-team/tensorspace/master/assets/logo.png"> </p> <h1 align="center">TensorSpace.js</h1> <p align="center"><b>Present Tensor in Space</b></p> <p align="center"> <strong>English</strong> | <a href="https://github.com/tensorspace-team/tensorspace/blob/master/README_zh.md"><strong>中文</strong></a> </p> <p align="center"> <a href="https://www.npmjs.com/package/tensorspace"><img src="https://img.shields.io/npm/v/tensorspace.svg" alt="npm version" height="18"></a> <a href="https://github.com/tensorspace-team/tensorspace/blob/master/LICENSE"><img src="https://img.shields.io/badge/license-Apache--2.0-green.svg" alt="license badge"></a> <a href="https://github.com/tensorflow/tfjs"><img src="https://img.shields.io/badge/dependencies-tfjs-brightgreen.svg" alt="dependencies badge"></a> <a href="https://github.com/mrdoob/three.js"><img src="https://img.shields.io/badge/dependencies-three.js-brightgreen.svg" alt="dependencies badge"></a> <a href="https://github.com/tweenjs/tween.js"><img src="https://img.shields.io/badge/dependencies-tween.js-brightgreen.svg" alt="dependencies badge"></a> <a href="https://travis-ci.org/tensorspace-team/tensorspace"><img src="https://travis-ci.org/tensorspace-team/tensorspace.svg?branch=master" alt="build"></a> <a href="https://gitter.im/tensorspacejs/Lobby#"><img src="https://img.shields.io/badge/gitter-join%20chat%20%E2%86%92-brightgreen.svg" alt="gitter"></a> </p> TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. After preprocessing the model, TensorSpace supports to visualize pre-trained model from TensorFlow, Keras and TensorFlow.js. <p align="center"> <img width="100%" src="https://raw.githack.com/tensorspace-team/tensorspace/master/assets/tensorspace_lenet.gif"> </p> <p align="center"> <b>Fig. 1</b> - Interactive LeNet created by TensorSpace </p> ## Table of Content * [Motivation](#motivation) * [Getting Started](#getting-start) * [Awesome TensorSpace](https://github.com/tensorspace-team/tensorspace/blob/master/awesome-tensorspace.md) * [Example](#example) * [Documentation](#documentation) * [Changelog](https://github.com/tensorspace-team/tensorspace/blob/master/CHANGELOG.md) * [Contributors](#contributors) * [Contact](#contact) * [License](#license) * [Next Episode](#next) ## Motivation TensorSpace is a neural network 3D visualization framework designed for not only showing the basic model structure, but also presenting the processes of internal feature abstractions, intermediate data manipulations and final inference generations. By applying TensorSpace API, it is more intuitive to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, etc. TensorSpace introduces a way for front end developers to be involved in the deep learning ecosystem. As an open source library, TensorSpace team welcomes any further development on visualization applications. * **Interactive** -- Use Layer API to build interactive model in browsers. * **Intuitive** -- Visualize the information from intermediate inferences. * **Integrative** -- Support pre-trained models from TensorFlow, Keras, TensorFlow.js. ## Getting Started <p align="center"> <img width="100%" src="https://raw.githack.com/tensorspace-team/tensorspace/master/assets/workflow.png"> </p> <p align="center"> <b>Fig. 2</b> - TensorSpace Workflow </p> ### 1. Install TensorSpace #### Install in the Basic Case - Step 1: Download Dependencies Download dependencies build files TensorFlow.js ([tf.min.js](https://cdnjs.com/libraries/tensorflow)), Three.js ([three.min.js
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syt123450 · @tensorspace-team · United States
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YaoXing Liu · @one2x-ai
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Qi(Nora) · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:61733c02686ec888, topic:deep-learning, topic:tensorflow