mlsanityData to 7 Oct 2026

TensorFlow.js: Machine Learning for the Web and Beyond

arXiv 1901.05350 ↗First posted 16 Jan 2019cs.LGcited by 29

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Abstract (arXiv)

TensorFlow.js is a library for building and executing machine learning algorithms in JavaScript. TensorFlow.js models run in a web browser and in the Node.js environment. The library is part of the TensorFlow ecosystem, providing a set of APIs that are compatible with those in Python, allowing models to be ported between the Python and JavaScript ecosystems. TensorFlow.js has empowered a new set of developers from the extensive JavaScript community to build and deploy machine learning models and enabled new classes of on-device computation. This paper describes the design, API, and implementation of TensorFlow.js, and highlights some of the impactful use cases.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jan 2019.

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Citing papers per year: 2021: 9; 2022: 6; 2023: 5; 2024: 5; 2025: 2; 2026: 2.

29 papers.

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  1. 2021Widening Access to Applied Machine Learning with TinyMLcited by 17
  2. 2021Evaluating the Interpretability of Generative Models by Interactive Reconstructioncited by 16
  3. 2021WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19cited by 5
  4. 2022GriddlyJS: A Web IDE for Reinforcement Learningcited by 4
  5. 2024EL-VIT: Probing Vision Transformer with Interactive Visualizationcited by 3
  6. 2021Speed Benchmarking of Genetic Programming Frameworkscited by 2
  7. 2021Explainability via Interactivity? Supporting Nonexperts' Sensemaking of Pretrained CNN by Interacting with Their Daily Surroundingscited by 2
  8. 2022Bridging the Language Gap: An Empirical Study of Bindings for Open Source Machine Learning Libraries Across Software Package Ecosystemscited by 2
  9. 2022Dressi: A Hardware-Agnostic Differentiable Renderer with Reactive Shader Packing and Soft Rasterizationcited by 2
  10. 2022Real-time Speech Emotion Recognition Based on Syllable-Level Feature Extractioncited by 2
  11. 2023WebSHAP: Towards Explaining Any Machine Learning Models Anywherecited by 2
  12. 2023Predicting small molecules solubilities on endpoint devices using deep ensemble neural networkscited by 2
17 more
  1. 2023Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challengescited by 2
  2. 2021WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacycited by 1
  3. 2022Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasiacited by 1
  4. 2022Deep Smart Contract Intent Detectioncited by 1
  5. 2023Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programmingcited by 1
  6. 2023Brainchop: Next Generation Web-Based Neuroimaging Applicationcited by 1
  7. 2024DistML.js: Installation-free Distributed Deep Learning Framework for Web Browserscited by 1
  8. 2024PyMilo: A Python Library for ML I/Ocited by 1
  9. 2021An Evolution of CNN Object Classifiers on Low-Resolution Imagescited by 0
  10. 2021C3DRec: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Eracited by 0
  11. 2021Progressive Transmission and Inference of Deep Learning Modelscited by 0
  12. 2024Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniquescited by 0
  13. 2024TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arrayingcited by 0
  14. 2025asanAI: In-Browser, No-Code, Offline-First Machine Learning Toolkitcited by 0
  15. 2025InFL-UX: A Toolkit for Web-Based Interactive Federated Learningcited by 0
  16. 2026WebSerial Vision Training for Microcontrollers: A Browser-Based Companion to On-Device CNN Trainingcited by 0
  17. 2026Meganeura: Portable GPU Training and Inference through Vulkan and Metalcited by 0