PyRank
  • Search
  • PyPI
  • GitHub
  • Insights
  • Compare
  • Advisories
  • Ecosystem
  • About

Data Augmentation Python Packages

Python packages with the GitHub topic data-augmentation. Sorted by monthly downloads, with stars and forks.
webdataset
webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

2M 3K 234
asteroid-team
torch-audiomentations

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

1.2M 1K 104
iver56
audiomentations

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

324K 2K 226
albumentations-team
albumentationsx

Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

71K 567 44
akiomik
pilgram

A python library for instagram filters

66K 133 19
TorchIO-project
torchio

Medical imaging processing for AI applications.

62K 2K 282
iver56
numpy-audio-limiter

Simple audio limiter. Made for use in audiomentations.

43K 10 0
iver56
fast-mp3-augment

Fast Python library for MP3 audio data augmentation (encode + decode for intentional audio quality degradation). Made for use in audiomentations.

43K 6 0
snorkel-team
snorkel

A system for quickly generating training data with weak supervision

35K 6K 852
NVIDIA
nvidia-dali-cuda120

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

31K 6K 685
sparkfish
augraphy

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

22K 583 66
webdataset
wids

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

15K 3K 234
bethgelab
imagecorruptions

Python package to corrupt arbitrary images.

15K 481 76
avitai
datarax

Differentiable data pipelines for JAX/Flax NNX: HuggingFace, TFDS and ArrayRecord sources, augmentation stages, scan-based epochs, exact mid-epoch resume.

12K 3 0
zoj613
polyagamma

An efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.

11K 28 6
QData
textattack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

4K 3K 457
gvtulder
elasticdeform

Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).

3K 195 24
NVIDIA
nvidia-dali-nightly-cuda120

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

3K 6K 685
visualdatabase
fastdup

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

3K 2K 95
NVIDIA
nvidia-dali-cuda110

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

3K 6K 685
bnnr-team
bnnr

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

3K 36 11
NVIDIA
nvidia-dali-tf-plugin-nightly-cuda120

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

2K 6K 685
NVIDIA
nvidia-dali-cuda130

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

2K 6K 685
NVIDIA
nvidia-dali-nightly-cuda110

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

2K 6K 685
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology