Skip to main content

PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRFs, MixTransformers, SegFormer, (planned DeepLabV3+, ConvNeXtV2, YOLO, etc.)

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 Distribution

deepvision-toolkit-0.1.6.tar.gz (43.5 kB view details)

Uploaded Source

File details

Details for the file deepvision-toolkit-0.1.6.tar.gz.

File metadata

  • Download URL: deepvision-toolkit-0.1.6.tar.gz
  • Upload date:
  • Size: 43.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.0

File hashes

Hashes for deepvision-toolkit-0.1.6.tar.gz
Algorithm Hash digest
SHA256 cd870fe33fdedd42c80647125d244497b35e1378ac11f21e19663835a04ec9bf
MD5 09bac416a3571ac147e6372a555f1b7f
BLAKE2b-256 ca624831c0d28b8d93476f3d2e8fcf99244c3ef01231fb4d76278eab6da6fd9a

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