Skip to main content

multimodal deep learning framework

Project description

Project description

Inspur Multimodal Artificial Intelligence Framework (iMIX) is an open source multi-modal model building toolbox.

The master branch works based on PyTorch.

Documentation: https://imix-docs.readthedocs.io/en/latest/

Github repository: https://github.com/inspur-hsslab/iMIX

Note: when use pip to install imix, if No matching distribution found for some dependent library happens, you can

  • download requirements.txt in the github repository above;

  • run pip install -r requirements.txt;

  • use pip to install imix.

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

iMIX-0.1.0.tar.gz (410.0 kB view details)

Uploaded Source

Built Distribution

iMIX-0.1.0-py3-none-any.whl (578.7 kB view details)

Uploaded Python 3

File details

Details for the file iMIX-0.1.0.tar.gz.

File metadata

  • Download URL: iMIX-0.1.0.tar.gz
  • Upload date:
  • Size: 410.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.8

File hashes

Hashes for iMIX-0.1.0.tar.gz
Algorithm Hash digest
SHA256 b1ac765f684d022cec47325da1a996062b3c431838c2b710db05884834b31cff
MD5 5ab14f1e595877bd7aeecb31f5e0e68f
BLAKE2b-256 136e3a0b88986cb2223494793fa42d96f7cede5425d053194dd9586e8f5f9671

See more details on using hashes here.

File details

Details for the file iMIX-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: iMIX-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 578.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.8

File hashes

Hashes for iMIX-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 21de47533a4be62337f0c1bea14d60ebaaa9ab3f4e41293a772d1987db00c4f9
MD5 41bf6ac581aeeedf23c58d6d88acde04
BLAKE2b-256 6b205b76a366b6a80d34b3e83bbf133fb170ac256b131197b70a22540460fd24

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