Skip to main content

Representational Similarity Measures for Deep Learning

Project description

DeepReps is a comprehensive library designed to centralize various measures of similarity for deep learning representations. It is specifically tailored for comparing the weights and outputs of deep learning models, providing a valuable toolkit for researchers and practitioners to assess and analyze model similarities.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

deep_reps-0.0.2.tar.gz (6.2 kB view details)

Uploaded Source

File details

Details for the file deep_reps-0.0.2.tar.gz.

File metadata

  • Download URL: deep_reps-0.0.2.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for deep_reps-0.0.2.tar.gz
Algorithm Hash digest
SHA256 23ffc29c61526f137dd8ee7db840d426bba52afb35286b4d88070467dda87c25
MD5 bcd3f8d067e7429609ff806ac8781a29
BLAKE2b-256 5debaceab40f353b13fb26dab31abc6fca7cee69b600975f132bd2b9fea8d55e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page