GradNorm - Pytorch

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lucidrains from gravatar.com lucidrains

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phil Wang
  • Tags artificial intelligence, deep learning, loss balancing, gradient normalization
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lucidrains from gravatar.com lucidrains

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phil Wang
  • Tags artificial intelligence, deep learning, loss balancing, gradient normalization
Classifiers

Release history Release notifications | RSS feed

0.0.26

0.0.25

0.0.24

0.0.23

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

This version

0.0.3

0.0.2

0.0.1

Download files

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

Source Distribution

gradnorm-pytorch-0.0.3.tar.gz (5.5 kB view details)

Uploaded Source

Built Distribution

gradnorm_pytorch-0.0.3-py3-none-any.whl (5.0 kB view details)

Uploaded Python 3

File details

Details for the file gradnorm-pytorch-0.0.3.tar.gz.

File metadata

  • Download URL: gradnorm-pytorch-0.0.3.tar.gz
  • Upload date:
  • Size: 5.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for gradnorm-pytorch-0.0.3.tar.gz
Algorithm Hash digest
SHA256 1ab659e3ae1d5c48311a225e013a9a5e9e98041584c45067f9d6cc417cf2fe9d
MD5 d0c2727808764fd4d35b646ae32018dc
BLAKE2b-256 736759e242336b16f99e07c2f55009cf8d85d52f6e3c04fece3076ad18b9ab71

See more details on using hashes here.

File details

Details for the file gradnorm_pytorch-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for gradnorm_pytorch-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 69fb7c0fa5b65f2c46df0385957cc6be0e30e48a005d60954fe0386a685f1f05
MD5 e811763849639dab37085fa853319005
BLAKE2b-256 47f212f84d2931040734a0ce79e39ca2f71fe16e2dc78b2031bcb81f3d3e7411

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