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data-augmentation x

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92 search results found

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

unet for image segmentation

Face.evolve ⭐ 3,074

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Webdataset ⭐ 2,264

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

Torchio ⭐ 1,904

Medical imaging toolkit for deep learning

Torchsample ⭐ 1,829

High-Level Training, Data Augmentation, and Utilities for Pytorch

Audiomentations ⭐ 1,605

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

Fastdup ⭐ 1,313

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.

Awesome Graph Self Supervised Learning ⭐ 1,194

Awesome Graph Self-Supervised Learning

Torch Audiomentations ⭐ 823

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

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

Mobilepose ⭐ 622

Light-weight Single Person Pose Estimator

Dataaugmentationforobjectdetection ⭐ 609

Data Augmentation For Object Detection

Dataaug4nlp ⭐ 595

Collection of papers and resources for data augmentation for NLP.

Efficient Learning of Augmentation Policy Schedules

Deepconvsep ⭐ 397

Deep Convolutional Neural Networks for Musical Source Separation

Amazon Forest Computer Vision ⭐ 370

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

DrQ: Data regularized Q

Copy Paste Aug ⭐ 306

Copy-paste augmentation for segmentation and detection tasks

Torchsat ⭐ 285

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Streaming over lightweight data transformations

Ghost Free Shadow Removal ⭐ 260

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

Modelnet40 C ⭐ 184

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

Wb_color_augmenter ⭐ 147

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

Semsegpipeline ⭐ 145

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

Contrad ⭐ 142

Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

Chatgpt Retrievalqa ⭐ 130

A dataset for training/evaluating Question Answering Retrieval models on ChatGPT responses with the possibility to training/evaluating on real human responses.

A generalizable application framework for segmentation, regression, and classification using PyTorch

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

All Conv Keras ⭐ 117

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Unsupervised Data Augmentation ⭐ 110

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Fcn_train ⭐ 100

The code includes all the file that you need in the training stage for FCN

Coursera Gan Specialization ⭐ 93

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Pedestrian Synthesis Gan ⭐ 85

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

Awesome Mixup ⭐ 76

Awesome List of Mixup Augmentation Papers for Visual Representation Learning

Mnist Challenge ⭐ 64

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Generative modeling of synthetic time series data and time series augmentations

Epcdepth ⭐ 59

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

[ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang

Noisy Student Training Asr ⭐ 44

Pytorch implementation of Noisy Student Training for Automatic Speech Recognition and Automatic Pronunciation Error Detection problem

Machine_learning_course ⭐ 44

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Keras Audiodatagenerator ⭐ 44

Augmented Audio Data Generator for 1D-Convolutional Neural Networks

A time series signal analysis and classification framework

Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).

Brain Tumor Detection ⭐ 39

Brain Tumor Detection Using Convolutional Neural Networks.

Pathology He Auto Augment ⭐ 37

H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.

Haze Synthesis ⭐ 37

Hazy/Dusty Image Synthesis based on Monodepth2 and Atmospheric Scattering Model

Crnn Pytorch ⭐ 36

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

Pointcutmix ⭐ 35

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'

Advchain ⭐ 30

[Medical Image Analysis] Adversarial Data Augmentation with Chained Transformations (AdvChain)

Physics Arx ⭐ 30

Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'21, Medical Physics'21, AAPM'21]

Keras Transform ⭐ 28

Library for data augmentation

Gps Augment ⭐ 27

Simple but high-performing method for learning a policy of test-time augmentation

Dataaugmentationtf ⭐ 26

Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.

Keras Multiclass Image Classification ⭐ 24

Multiclass image classification using Convolutional Neural Network

maxsmi: a guide to SMILES augmentation. Find the optimal SMILES augmentation for accurate molecular prediction.

Deep Chemometrics ⭐ 21

Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)

Localizable Rotation ⭐ 21

Official PyTorch Repository of "Tailoring Self-Supervision for Supervised Learning" (ECCV 2022 Paper)

Adversarial Automixup ⭐ 21

Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)

Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency on Visual Corruptions for Single-Source Domain Generalization"

Unet Multiclass Pytorch ⭐ 20

Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation

Torchaug ⭐ 20

Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.

Boosting Document Intelligence

A Python package for geometric transformations of images for data augmentation in deep learning

KoTAN: Korean Translation and Augmentation with fine-tuned NLLB

Skin_disease_ai ⭐ 18

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

Simple Tools For Machine Learning ⭐ 18

Simple tools for deep learning. Including computer vision, machine learning,...

This is the official source code of "BiCAT: Self-Knowledge Distillation with Bidirectional Chronological Augmentation of Transformer for Sequential Recommendation" based on TensorFlow.

Implemenation of UNets for Lung Segmentation

Library of TensorFlow layers for audio data processing and data augmentation

Code of CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping

[CVPR 2021] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples

Nat Acl2020 ⭐ 13

Deeptrafficsign ⭐ 13

Traffic sign recognition with Deep Convolutional Neural Networks

Image Classification Transfer Learning ⭐ 12

Building ResNet152 Model for Image Classification with Small Dataset (95% accuracy) | Tensorflow 2.0

Manifold_mixup ⭐ 12

Tensorflow implementation of the Manifold Mixup machine learning research paper

Superpixelgridmasks ⭐ 12

SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.

Training framework & tools for PyTorch-based machine learning projects.

Dsbn_aistats2015 ⭐ 11

The Matlab Code for the AISTATS 2015 paper "Learning Deep Sigmoid Belief Network with Data Augmentation"

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Reetoolbox ⭐ 11

Toolbox for measuring adversarial robustness to many transforms

Data Augmentation For Nlp ⭐ 10

An implementation of data augmentation methods for natural language processing tasks.

Pytorchvision ⭐ 10

The pytvision package consists of my datasets, models, and image transformations methods for computer vision projects. This package also containing the synthetic render methods.

Data Augmentation For Object Detection ⭐ 10

Data Augmentation For Object Detection using Pytorch and PIL

Videotransformations ⭐ 9

Video transformation for deep learning

Gan Face Editing ⭐ 8

Face attribute manipulation with GAN for automatic data augmentation or individual editing.

Baxter_learning ⭐ 8

Introduction to a method for training a deep neural network to learn a representation of a robot's environment state using a priori knowledge by an unsupervised fashion

Capsule Networks Medical Data Challenges ⭐ 8

"Capsule Networks against Medical Imaging Data Challenges" - LABELS@MICCAI 2018

Code for GenAug: Data Augmentation for Finetuning Text Generators.

Imagemorph.c ⭐ 6

Program to apply random elastic rubbersheet transforms to Netpbm color (.ppm, i.e., P6 raw color) images for augmenting training sets in machine learning/deep learning. The program reads an input .ppm image from stdin and writes a ppm image to stdout. Original Author: Marius Bulacu (.pgm version for characters). Adapted for .ppm and color: Lambert Schomaker. Please cite: M Bulacu, A Brink, T van der Zant, L Schomaker (2009). Recognition of handwritten numerical fields in a large single-wri

Data_augmentation_caffe ⭐ 6

common data augmentation methods, implemented in caffe.

Handwritten_text_recognition ⭐ 6

Augmentation ⭐ 6

Adversarial Augmentation for Enhancing Classification of Mammography Images

Driverless Project ⭐ 6

Driverless project of Camber Racing, official Formula Student Team of SRM Institute of Technology, KRT

Chainer Ricap ⭐ 5

Chainer implementation of the paper "RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs" (http://proceedings.mlr.press/v95/takahashi18a.htm

Chapter 4: Basics of Deep Learning

Nucleotide augmentation for machine learning-guided protein engineering (https://doi.org/10.1093/bioadv/vbac094, 2022)

Deep Learning Resources ⭐ 5

Curated list of DL Resources [Updated 2019]

Data Augmentation Using Deep Convolutional Gan ⭐ 5

This repository contains code for Face generation using Deep convolutional generative adversarial network.

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