PalletML (Beta) - Deploy TensorFlow models to Android without code, make real-time classifications, and share models easily

This page summarizes the projects mentioned and recommended in the original post on /r/tensorflow

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • awesome-teachable-machine

    Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!

    Pallet supports most image classification models with a standard signature, including models exported from AutoML tools including Lobe.ai, Google Cloud Vision, and Teachable Machine.

  • android-bootstrap

    Bootstrap your Lobe machine learning model with our Android project. (by lobe)

    Pallet supports most image classification models with a standard signature, including models exported from AutoML tools including Lobe.ai, Google Cloud Vision, and Teachable Machine.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts