Skip to main content

pytorch implementation of seesaw loss

Project description

SeesawLoss implementation using PyTorch

Install

pip install seesawloss

Usage

from seesawloss import SeesawLoss

...
criterion = SeesawLoss(num_classes=1000)
...

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

seesawloss-0.1.1.tar.gz (3.1 kB view details)

Uploaded Source

File details

Details for the file seesawloss-0.1.1.tar.gz.

File metadata

  • Download URL: seesawloss-0.1.1.tar.gz
  • Upload date:
  • Size: 3.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for seesawloss-0.1.1.tar.gz
Algorithm Hash digest
SHA256 ef91429e86a84c16766b95207ad6bc7180cafbbc6b55b9fae59277995f511a9b
MD5 d97a0181a9dc84fe3f03a1289870beda
BLAKE2b-256 3ee3662d8fbddad40e25c3de0c0fd02359eb4adb1e1d2cf20ef891512f25a45c

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