[P] Metric learning: theory, practice, code examples

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
Computer Vision Data Science Deep Learning metric-learning Pytorch

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

  • open-metric-learning

    Library for metric learning pipelines and models.

    • Hi, everyone! I invite you to read a post / tutorial about metric learning. It includes the theory overview, practical examples with illustrations and code snippets written in OpenMetricLearning (a new PyTroch-based library). As a bonus, you will learn how to train a model which performs on a SotA level using a few simple heuristics. Welcome to read!

  • 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