A python/pytorch utility library

Related tags

Deep Learning pyutility
Overview

pyutils

A python/pytorch utility library

MIT License

News

  • v0.0.1 available. Feedbacks are highly welcomed!

Installation

git clone https://github.com/JeremieMelo/pyutility.git
cd pyutility
pip3 install --editable .

Features

  • Support pytorch training utility and datasets.

TODOs

  • Support lr_scheduler
  • Support trainer

Dependencies

  • Python >= 3.6
  • PyTorch >= 1.8.0
  • Tensorflow >= 2.5.0
  • Others are listed in requirements.txt

Files

File Description
datasets/ Defines different datasets and builder
optimizer/ Defines different optimizers
activation.py Activation functions
compute.py functions related to computing
config.py Hierarchical yaml configuration file parser
distribution_sampler.py Sample from customized distributions
general.py Common helper functions
initializer.py Initialization methods for PyTorch Parameters
loss.py Loss functions for PyTorch model training
quantize.py Quantization functions
torch_train.py Helper functions for torch training
typing.py Defines common types

Contact

Jiaqi Gu ([email protected])

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Comments
  • CVE-2007-4559 Patch

    CVE-2007-4559 Patch

    Patching CVE-2007-4559

    Hi, we are security researchers from the Advanced Research Center at Trellix. We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a 15 year old bug in the Python tarfile package. By using extract() or extractall() on a tarfile object without sanitizing input, a maliciously crafted .tar file could perform a directory path traversal attack. We found at least one unsantized extractall() in your codebase and are providing a patch for you via pull request. The patch essentially checks to see if all tarfile members will be extracted safely and throws an exception otherwise. We encourage you to use this patch or your own solution to secure against CVE-2007-4559. Further technical information about the vulnerability can be found in this blog.

    If you have further questions you may contact us through this projects lead researcher Kasimir Schulz.

    opened by TrellixVulnTeam 0
Owner
Jiaqi Gu
PhD Student at UT Austin
Jiaqi Gu
GitHub
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