[R][D] VAE Embedding Space - Can we force it to learn a metric?

• pytorch-metric-learning

  3 5,764 7.9 Python

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

You can use the triplet loss together with the Gaussian prior. It will be zero centered though and the clusters are not as separated when you use the triplet loss only.There are many alternative to the triplet loss, in case it needs to be a metric: https://github.com/KevinMusgrave/pytorch-metric-learning

• InfluxDB

  www.influxdata.com featured

  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.

  

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