DabData Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ
DrqDrQ: Data regularized Q
Torchsat🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
pytorch-ricapPyTorch implementation of RICAP (Random Image Cropping And Patching)
EmotionalConversionStarGANThis 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".
thelperTraining framework & tools for PyTorch-based machine learning projects.
polyagammaAn efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.
DeepSentiPersRepository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"
all-classifiers-2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
text2textText2Text: Cross-lingual natural language processing and generation toolkit
volumentationsAugmentation package for 3d data based on albumentaitons
allie🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).
webdatasetA high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
mnist-challengeMy solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
augraphyAugmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes
elasticdeformDifferentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).
bird species classificationSupervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data
candockA time series signal analysis and classification framework
KoEDAKorean Easy Data Augmentation
semantic-parsing-dualSource code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".
fastai sparse3D 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
UnetsImplemenation of UNets for Lung Segmentation
audio degraderAudio 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.
GAugAAAI'21: Data Augmentation for Graph Neural Networks
manifold mixupTensorflow implementation of the Manifold Mixup machine learning research paper
KitanaQAKitanaQA: Adversarial training and data augmentation for neural question-answering models
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
MobilePoseLight-weight Single Person Pose Estimator
EPCDepth[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Learning-From-RulesImplementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
ccglTKDE 22. CCCL: Contrastive Cascade Graph Learning.
PointCutMixour code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'
SnapMixSnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
CAPRICEPAn 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)
GaNDLFA generalizable application framework for segmentation, regression, and classification using PyTorch
machine learning courseArtificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
mrnetBuilding an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
DataAugmentationTFImplementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.