Augmentation Libraries

19 Components & Libraries

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Augmentation Libraries

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to increase the quality of trained models. The purpose of image augmen…

Image augmentation library in Python for machine learning.

Augmentor is an image augmentation library in Python for machine learning. It aims to be a standalone library that is platform and framework independent, which is more convenient, allows for finer gr…

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

TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP. There are lots of reasons to use TextAttack: You should be running Python 3.6+ to use this pack…

Medical imaging toolkit for deep learning

If you like this repository, please click on Star! If you use this package for your research, please cite our paper: BibTeX entry: This project is supported by the following institutions:

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

🚀 Introducing VL Profiler! 🚀 We're excited to announce our new cloud product, VL Profiler. It's designed to help you gain deeper insights and enhance your productivity while using fastdup. With VL P…

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. T…

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Data Science Hacks is created and maintained by Analytics Vidhya for the data science community. It includes a variety of tips, tricks and hacks related to data science, machine learning These Hacks …

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similarity, learn the normal behavior and temporal intera…

Python package to corrupt arbitrary images.

Looping over all available corruptions can be done either by name or by index: If you use our code or the imagecorruptions package, please consider citing:

A Python package for time series augmentation

Prerequisites: Python 3.5 or later. A first-time user may start with two examples: Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. P…

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

This library implements elastic grid-based deformations for N-dimensional images. The elastic deformation approach is described in The procedure generates a coarse displacement grid with a random dis…

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Our augmentation method can accurately emulate realistic color constancy degradation. Existing color augmentation methods often generate unrealistic colors which rarely happen in reality (e.g., green…

A simpler way of reading and augmenting image segmentation data into TensorFlow

This is an efficient semantic segmentaiton data input pipeline function for Tensorflow 2. The pipeline is made to be multithreaded, and uses the tf data API to prerocess the image and segmentation ma…

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. Intended for both beginners and experts, Allie is designed to be easy-to-use for rapid prototy…

:mega: Python library for audio augmentation

On Linux you can use the following commands to get the libraries: On Windows you can use the following installation binaries: On MacOs, use homebrew to install the packages: This library currently su…

Custom image data generator for TF Keras that supports the modern augmentation module albumentations

To learn more about: The most notable added features are:

SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.

SoundPy is an experimental / alpha stage package for exploring sound as well as machine learning in the context of sound. The above command will save the following plots of the STFT in the folder 'tw…

Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmentation, evaluation in noisy conditions, etc.

Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio. A small set of sounds and impulse responses are installed along with the script,…

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