[D] Build, train and track machine learning models using Superwise and Layer

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

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
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  • sdk

    Discontinued Metadata store for Production ML (by layerai)

  • This illustrates how you can use Layer and Amazon SageMaker to deploy a machine learning model and track it using Superwise. Amazon SageMaker enables you to build, train and deploy machine learning models.

  • 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
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

  • Track your ML experiments!

    1 project | /r/u_layer_ai | 14 Jun 2022
  • Today, Layer goes open-source to make machine learning more accessible

    1 project | news.ycombinator.com | 30 May 2022
  • Ask HN: How does deploying a fine-tuned model work

    4 projects | news.ycombinator.com | 23 Apr 2024
  • Playable Sandbox Now Available

    3 projects | dev.to | 11 Jan 2024
  • Show HN: Turbo.art – an open-source playground for real-time Stable Diffusion

    1 project | news.ycombinator.com | 3 Jan 2024