Skip to main content

PyTorch implementation of the InfoNCE loss for self-supervised learning.

Project description

PyTorch implementation of the InfoNCE loss from “Representation Learning with Contrastive Predictive Coding”.

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

info-nce-pytorch-0.1.1.tar.gz (3.1 kB view details)

Uploaded Source

File details

Details for the file info-nce-pytorch-0.1.1.tar.gz.

File metadata

  • Download URL: info-nce-pytorch-0.1.1.tar.gz
  • Upload date:
  • Size: 3.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for info-nce-pytorch-0.1.1.tar.gz
Algorithm Hash digest
SHA256 f1c3bef6069841cdc1caa45e7c495c133ab95d0c05e7a6f22594b7dd01b38b02
MD5 32481bd544021c1e841245fc61939f25
BLAKE2b-256 ce569f97444227845aca9518e0da017169977d9ef07b0cd5a5ee78cdf74ac3c1

See more details on using hashes here.

Supported by

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