Skip to main content

FiFTy: Large-scale File Fragment Type Identification using Neural Networks

Project description

The author of this package has not provided a project description

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

fifty-1.0.0-py2.py3-none-any.whl (40.2 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file fifty-1.0.0-py2.py3-none-any.whl.

File metadata

  • Download URL: fifty-1.0.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 40.2 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.25.0 CPython/3.6.3

File hashes

Hashes for fifty-1.0.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8e5beaa75f57d9b3bde335fc4b5a3fcbad3725fe742b1a343cf56d86c47118c5
MD5 8090337744f61ec680c62b142fd29b8f
BLAKE2b-256 2818da9fb1603c53eb197398c8875cfdfbfe2304fb5a8f10d6925affd4622ebe

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