Skip to main content

Collection of PyTorch additions, extensions, utilities, uses and abuses

Project description

:fire: ebtorch

Collection of PyTorch additions, extensions, utilities, uses and abuses.


Getting started

Due to the dependency of ebtorch on:

  • the latest (unpublished) upstream version of AdverTorch;
  • TorchAttacks, which in turn depends (probably too tightly) on requests~=2.25.1,

the recommended way of installing ebtorch, at the moment, is the following:

pip install --upgrade "ebtorch>=0.25.9" "git+https://github.com/BorealisAI/advertorch.git" "requests>=2.28"

Within Google Colab, it can be installed (together with all missing dependencies) with:

!pip install "fire>=0.6" "medmnist>=3" "torchattacks>=3.5.1" "git+https://github.com/BorealisAI/advertorch.git" "ebtorch>=0.25.9" --no-deps

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

ebtorch-0.26.0.tar.gz (68.7 kB view details)

Uploaded Source

Built Distribution

ebtorch-0.26.0-py3-none-any.whl (101.8 kB view details)

Uploaded Python 3

File details

Details for the file ebtorch-0.26.0.tar.gz.

File metadata

  • Download URL: ebtorch-0.26.0.tar.gz
  • Upload date:
  • Size: 68.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for ebtorch-0.26.0.tar.gz
Algorithm Hash digest
SHA256 93ebc693e352f3da8ba3ad63a12d6a0d80d88c22bd4482cbcb0bd90d1c944a7e
MD5 e1d7ca75aab568cbf443319123efa526
BLAKE2b-256 4c145fd508cf103afba1910218620c0a499703fd50cafa520d9ef05720739769

See more details on using hashes here.

File details

Details for the file ebtorch-0.26.0-py3-none-any.whl.

File metadata

  • Download URL: ebtorch-0.26.0-py3-none-any.whl
  • Upload date:
  • Size: 101.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for ebtorch-0.26.0-py3-none-any.whl
Algorithm Hash digest
SHA256 339e1b2ced220c7b0fb92eaca8600a2fbbd116c6139af2322a3dc8ad0982b1be
MD5 5dbab06119fcce839e369ca75fe3d570
BLAKE2b-256 1ef93725a3569eaca5c9a2d67f8d88f9ffd2f4bb57eccfa77bd1b18e5c024f75

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