Recurrent Memory Transformer - 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, transformers, attention mechanism, recurrence, memory, long-context
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, transformers, attention mechanism, recurrence, memory, long-context
Classifiers

Release history Release notifications | RSS feed

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.3

0.4.2

0.4.1

0.4.0

0.3.2

0.3.1

0.3.0

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.2

0.1.0

0.0.14

0.0.11

0.0.10

0.0.9

This version

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

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

recurrent-memory-transformer-pytorch-0.0.8.tar.gz (7.5 kB view details)

Uploaded Source

Built Distribution

recurrent_memory_transformer_pytorch-0.0.8-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file recurrent-memory-transformer-pytorch-0.0.8.tar.gz.

File metadata

File hashes

Hashes for recurrent-memory-transformer-pytorch-0.0.8.tar.gz
Algorithm Hash digest
SHA256 b2fd0885c2c1c0ff1f716829d9c4d8c55ad9efb6bc8cc1bf7806af8055041555
MD5 4d9fd839efd2893e00e7cc1a0675de04
BLAKE2b-256 d49668191a17f3680ddea44baca997ec80d0539f43a90031b9937426b4db0384

See more details on using hashes here.

File details

Details for the file recurrent_memory_transformer_pytorch-0.0.8-py3-none-any.whl.

File metadata

File hashes

Hashes for recurrent_memory_transformer_pytorch-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 8cbd234dec8a67ccef4579904e364a69836c2a184b3b5246775a760e0a592127
MD5 a6f4261e34b6457b3764949a39091ce8
BLAKE2b-256 f8cf1a4b070e724ffdff2a958d19ce3523d3a3056bd1409ff9909307e4f3b800

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