How to get started with machine learning.

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

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
  • tvm

    Open deep learning compiler stack for cpu, gpu and specialized accelerators

  • Or use TVM, the idea is to compile your model into code that you can load at runtime. Similar to onnxruntime, it only does DNN inference; so you need domain-specific code.

  • spaCy

    💫 Industrial-strength Natural Language Processing (NLP) in Python

  • Given your need, I think you'll be better off with libraries like Spacy, which does NLP (rather than just DNN inference). You'll get your app much faster this way.

  • 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

  • [D] How do you keep up to date on Machine Learning?

    1 project | /r/learnmachinelearning | 13 Aug 2023
  • Open-Source Production Machine Learning Course

    1 project | news.ycombinator.com | 31 Jul 2023
  • Advice for switching careers within analytics

    1 project | /r/datascience | 30 Jun 2023
  • Ask HN: Resource to learn how to train and use ML Models

    3 projects | news.ycombinator.com | 2 Jun 2023
  • Need help to find resources to learn ml ops

    1 project | /r/developersIndia | 2 May 2023