Skip to main content

A pure pytorch implementation of xLSTM.

Project description

xLSTM

A pure pytorch implementation of the XLSTM paper.

TODO

References

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

torchxlstm-0.0.2.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

torchxlstm-0.0.2-py3-none-any.whl (4.6 kB view details)

Uploaded Python 3

File details

Details for the file torchxlstm-0.0.2.tar.gz.

File metadata

  • Download URL: torchxlstm-0.0.2.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for torchxlstm-0.0.2.tar.gz
Algorithm Hash digest
SHA256 6b0ae0b86247f621ad374ffe816e6927efb5a7c5f20d412d3fa1ea7328ffefef
MD5 4db2f68b8378ffbe6428cdfe80908fd2
BLAKE2b-256 15bb3191bf11ae4733561f0bac59452fe8a93d204f87adb88f127eae4eb6d9da

See more details on using hashes here.

File details

Details for the file torchxlstm-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: torchxlstm-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 4.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for torchxlstm-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 964b8a1c45ab345fd4aec89e25978f2fd3b354b9cef80aeb5ce8c772c175d9a0
MD5 80f742e6ef6f1c2fb0970be08c906387
BLAKE2b-256 fe800ddc44a65000eb3286602cb51ffa1e1b3c0cf303d1a54cb0e8111eef46ae

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