Mega - 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, attention mechanism, exponential moving average, long range arena
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, attention mechanism, exponential moving average, long range arena
Classifiers

Release history Release notifications | RSS feed

0.1.0

0.0.15

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

Mega-pytorch-0.0.3.tar.gz (5.3 kB view details)

Uploaded Source

Built Distribution

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

Uploaded Python 3

File details

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

File metadata

  • Download URL: Mega-pytorch-0.0.3.tar.gz
  • Upload date:
  • Size: 5.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for Mega-pytorch-0.0.3.tar.gz
Algorithm Hash digest
SHA256 52f05dcbaca2a59b737fbe603368afebbf3177f64639b9fa2ce01ee19e2409cb
MD5 109882ab597274b8a56073ee34b12d0c
BLAKE2b-256 27f790a8eec557c62a0a6dc9d81235950f1d060dd24250df65c917247887de3a

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for Mega_pytorch-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 0d27277d40877a0eeaa68bd0ec4a2881f31b6f1ff17a08fd53f25280b01c5db5
MD5 a9b09ad85fc9b093cae76d0a63a72015
BLAKE2b-256 40bc5454513a2c32c2956d49a6e0c772f2dcce2ddcf9dc7d9ea9f28e13a33c2f

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