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  • the latest (unpublished) upstream version of AdverTorch;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-0.26.3.tar.gz (68.8 kB view details)

Uploaded Source

Built Distribution

ebtorch-0.26.3-py3-none-any.whl (102.0 kB view details)

Uploaded Python 3

File details

Details for the file ebtorch-0.26.3.tar.gz.

File metadata

  • Download URL: ebtorch-0.26.3.tar.gz
  • Upload date:
  • Size: 68.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for ebtorch-0.26.3.tar.gz
Algorithm Hash digest
SHA256 1dc013c73cae90be399926345a1d66387191b5bf80a1d72e02961ebc77bbb82a
MD5 21f5545893f5456c936ba0300b443d99
BLAKE2b-256 3ec0ae2dc4de81f73b05208748b1467ce808dabda20a394ffd427e6f5ea2f6c0

See more details on using hashes here.

File details

Details for the file ebtorch-0.26.3-py3-none-any.whl.

File metadata

  • Download URL: ebtorch-0.26.3-py3-none-any.whl
  • Upload date:
  • Size: 102.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for ebtorch-0.26.3-py3-none-any.whl
Algorithm Hash digest
SHA256 2c17cee7a2eb73f62ddd748b26423f337ad8bade732e8cc4617b73f1960a14b6
MD5 23629155dbd8a4651d62ba039a5a8520
BLAKE2b-256 0fabb52865900d7837b1d8f532092f956967291becc65f341592b32aa92e8e94

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