Get started with TensorFlow and Deep Learning

This page summarizes the projects mentioned and recommended in the original post on dev.to

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.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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  • Artificial-Intelligence_resources-and-notebooks

    This repo contains various different datasets and codes with various different algorithms. This also contains code and demonstrations to run an Artificial Intelligence Algorithm on the edge. It also contains many datasets where one can practice AI.

  • If you are using Jupyter Notebooks in your local environment download the code file here.

  • Deep-Learning-With-TensorFlow-Blog-series

    Discontinued All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]

  • All the code used here is available at the GitHub repository here.

  • 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.

    InfluxDB logo
  • Deep-Learning-With-TensorFlow

    All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow

  • Rishit-dagli / Deep-Learning-With-TensorFlow

  • docs

    TensorFlow documentation (by tensorflow)

  • TensorFlow docs here

  • tensorflow

    An Open Source Machine Learning Framework for Everyone

  • GitHub repository here

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
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.

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