Skip to main content

UltraMem

Project description

UltraMem (wip)

Implementation of UltraMem, improved Product Key Memory design, from Bytedance AI labs

Citations

@misc{huang2025ultrasparsememorynetwork,
    title   = {Ultra-Sparse Memory Network}, 
    author  = {Zihao Huang and Qiyang Min and Hongzhi Huang and Defa Zhu and Yutao Zeng and Ran Guo and Xun Zhou},
    year    = {2025},
    eprint  = {2411.12364},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2411.12364}, 
}
@inproceedings{anonymous2025continual,
    title   = {Continual Learning via Sparse Memory Finetuning},
    author  = {Anonymous},
    booktitle = {Submitted to The Fourteenth International Conference on Learning Representations},
    year    = {2025},
    url     = {https://openreview.net/forum?id=LGo7U1m24L},
    note    = {under review}
}

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

ultra_mem-0.0.4.tar.gz (190.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ultra_mem-0.0.4-py3-none-any.whl (6.4 kB view details)

Uploaded Python 3

File details

Details for the file ultra_mem-0.0.4.tar.gz.

File metadata

  • Download URL: ultra_mem-0.0.4.tar.gz
  • Upload date:
  • Size: 190.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for ultra_mem-0.0.4.tar.gz
Algorithm Hash digest
SHA256 ed84ec0121832fc07246d980d14bc94dd9e6d4207dc635d656d6176c3546defd
MD5 5acddf438604793f0a84af2fb6fd8ed4
BLAKE2b-256 2c914bd80085618850ecc4f86f1f75cbad076bc6def25f24a74f7739166b2756

See more details on using hashes here.

File details

Details for the file ultra_mem-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: ultra_mem-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 6.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for ultra_mem-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 521d7e671d3156df783f100dfcee2a5a5179a33116cb7f91c156e8c0b04af7b9
MD5 74d7a8d13ed5e6e93a0aa43ace8f299b
BLAKE2b-256 6594c9d53b9c707400b3644628c2bde6cbffb2b2d52f62b8a3da774d074a6d87

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