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Top 112 data-augmentation open source projects

Torchsat
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
pytorch-ricap
PyTorch implementation of RICAP (Random Image Cropping And Patching)
EmotionalConversionStarGAN
This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".
thelper
Training framework & tools for PyTorch-based machine learning projects.
polyagamma
An efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.
volumentations
Augmentation package for 3d data based on albumentaitons
consistency-adversarial
Consistency Regularization for Adversarial Robustness (AAAI 2022)
numpy-data-augmentation
Data Augmentation using NumPy
Tensorflow-data-loader
Reading data into tensorflow using tf.data function
webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
elasticdeform
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).
bird species classification
Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data
semantic-parsing-dual
Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".
Awesome-Few-Shot-Image-Generation
A curated list of papers, code and resources pertaining to few-shot image generation.
fastai sparse
3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks
audio degrader
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.
GAug
AAAI'21: Data Augmentation for Graph Neural Networks
manifold mixup
Tensorflow implementation of the Manifold Mixup machine learning research paper
EPCDepth
[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Learning-From-Rules
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
PointCutMix
our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'
SnapMix
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
CAPRICEP
An extended TSP (Time Stretched Pulse). CAPRICEP substantially replaces FVN. CAPRICEP enables interactive and real-time measurement of the linear time-invariant, the non-linear time-invariant, and random and time varying responses simultaneously.
advchain
[Medical Image Analysis] Adversarial Data Augmentation with Chained Transformations (AdvChain)
DataAugmentationTF
Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
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