Factual package intelligence from PyPI

vjepa 0.1.2 package intelligence

Moedified from the official PyTorch codebase for the video joint-embedding predictive architecture, V-JEPA, a method for self-supervised learning of visual representations from video.

pip install vjepa

Current version
0.1.2
Python requirement
<4.0,>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
105.1 KiB
Release history
3 releases with files
Median release cadence
0 days

vjepa dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2
  2. torchvision <0.20.0,>=0.19.1
  3. pyyaml <7.0.0,>=6.0.2
  4. numpy >=1.24.0
  5. opencv-python <5.0.0.0,>=4.10.0.84
  6. submitit <2.0.0,>=1.5.2
  7. braceexpand <0.2.0,>=0.1.7
  8. webdataset <0.3.0,>=0.2.100
  9. timm <2.0.0,>=1.0.9
  10. decord <0.7.0,>=0.6.0
  11. pandas ==2.2.2
  12. einops <0.9.0,>=0.8.0
  13. beartype <0.20.0,>=0.19.0

Compatibility and release files

vjepa publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.