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Search results for data augmentation

data-augmentation x

385 search results found

Volumentations ⭐ 25

Augmentation package for 3d data based on albumentaitons

Nbsynthetic ⭐ 25

nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets

Urbansound8k Jams ⭐ 24

JAMS annotation files for the original and augmented UrbanSound8K dataset

Patho Gan ⭐ 24

Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"

Keras Multiclass Image Classification ⭐ 24

Multiclass image classification using Convolutional Neural Network

All Classifiers 2019 ⭐ 24

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Im2txt2im ⭐ 24

I2T2I: Text-to-Image Synthesis with textual data augmentation

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

Pytorch Ricap ⭐ 23

PyTorch implementation of RICAP (Random Image Cropping And Patching)

Deepsentipers ⭐ 22

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python

Kg4zeroshottext ⭐ 22

Source code of the paper 'Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. NAACL-HLT 2019. '

Augmennt ⭐ 22

Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.

Pseudo 3d Tensorflow ⭐ 22

Tensorflow implement for Pseudo-3d-residual network.

An uncertainty-based random sampling algorithm for data augmentation

Adversarial Automixup ⭐ 21

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

Adas Car Using Raspberry Pi ⭐ 21

ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc

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)

Thickstun2018invariances ⭐ 20

Experiments for Invariances and Data Augmentation for Supervised Music Transcription

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

Resnet Cifar10 ⭐ 20

ResNet for Cifar10

Unet Tensorflow ⭐ 20

A brief tensorflow implementation about UNet.

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

Polyagamma ⭐ 20

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

Unsupervised_data_augmentation_pytorch ⭐ 20

A PyTorch implementation for Unsupervised Data Augmentation

Torchaug ⭐ 20

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

Recursivemix Pytorch ⭐ 20

Official Codes and Pretrained Models for RecursiveMix

Boosting Document Intelligence

Unet Multiclass Pytorch ⭐ 20

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

KoTAN: Korean Translation and Augmentation with fine-tuned NLLB

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

Video Data Aug ⭐ 19

Learning Representational Invariances for Data-Efficient Action Recognition

Targetran ⭐ 18

Python library for data augmentation in object detection or image classification model training

Simple Tools For Machine Learning ⭐ 18

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

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.

Sotastream ⭐ 18

A library for data streaming and augmentation

Augmix Tf ⭐ 17

Implementation of AugMix (2020) in TensorFlow

Feature Re-Learning with Data Augmentation for Video Relevance Prediction

Cv_a Fan ⭐ 17

[TMLR] "Adversarial Feature Augmentation and Normalization for Visual Recognition", Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu

Food101 Tensorflow ⭐ 16

🌮 Classify Food Images from the Food-101 Dataset Using Transfer Learning (ResNet50).

Data Augmentation Using Gan ⭐ 16

In emotion classification task

EMNLP 2022: Differentiable Data Augmentation for Contrastive Learning Sentence Representation Learning. https://arxiv.org/abs/2210.16536

Iotdevid ⭐ 16

A Behaviour-Based Fingerprinting Method for Device Identification in the IoT

[KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"

Randstainna ⭐ 15

RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]

Bayesian Flownet ⭐ 15

Bayesian FlowNetS in Tensorflow

Kopikatapi ⭐ 15

KopikatAPI is Python library for interacting with the Kopikat API.

Style_ner ⭐ 15

“Data Augmentation for Cross-Domain Named Entity Recognition” (EMNLP 2021)

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

Code for EMNLP2020 paper: "Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space"

Good Da In Kd ⭐ 14

[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

Library of TensorFlow layers for audio data processing and data augmentation

Implemenation of UNets for Lung Segmentation

Tensorflow Data Loader ⭐ 13

Reading data into tensorflow using tf.data function

Nat Acl2020 ⭐ 13

Deeptrafficsign ⭐ 13

Traffic sign recognition with Deep Convolutional Neural Networks

Spatial Pytorch ⭐ 13

Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).

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

Exemplar Vae ⭐ 13

Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation

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

Brain Synthesis Lesion Segmentation ⭐ 12

Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

Albumentations Examples ⭐ 12

画像データ拡張ライブラリAlbumentationsのJupyter上での実行例。

Fastaugment ⭐ 12

A handy data augmentation toolkit for image classification put in a single efficient TensorFlow op.

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

Disfluency Generation And Detection ⭐ 12

Code for "Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection"

code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation"

Erf Pspnet ⭐ 12

Pytorch code of Sequential/Hierarchical ERFNet with PSPNet for real-time semantic segmentation

Pipe Segmentation ⭐ 12

Using machine learning to find water pipelines in aerial images with 73% accuracy

Dataaugmentation ⭐ 12

Data augmentation using OpenCV

Image Classification Transfer Learning ⭐ 12

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

Image Rotation And Cropping Tensorflow ⭐ 12

Image rotation and cropping out the black borders in TensorFlow

Superpixelgridmasks ⭐ 12

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

Manifold_mixup ⭐ 12

Tensorflow implementation of the Manifold Mixup machine learning research paper

Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation

3d Voxeldatagenerator ⭐ 11

Python generator for voxel data augmentation

Milkstraw Python Client ⭐ 11

Generate artificial data with AI to augment your existing datasets and improve your AI performance.

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

Dsbn_aistats2015 ⭐ 11

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

Semisupervised_timeseries_infogan ⭐ 11

A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a supervised loss function. So it's called semisupervised Info GAN.

Reetoolbox ⭐ 11

Toolbox for measuring adversarial robustness to many transforms

Scr Stan ⭐ 11

Spatial capture-recapture models in Stan

Conditionalglo ⭐ 11

Yi-Min Chou, Chien-Hung Chen, Keng-Hao Liu, and Chu-Song Chen, "Changing Background to Foreground: An Augmentation Method Based on Conditional Generative Network for Stingray Detection," IEEE International Conference on Image Processing, ICIP 2018, October 2018.

Da Alone Improves At ⭐ 10

data augmentation alone can improve adversarial training

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.

Salty Wet Man ⭐ 10

Online content control dashboard. Binary classification filter/flag for inappropriate NSFW content with automated reporting

Data Augmentation For Nlp ⭐ 10

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

EMNLP 2022 "PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings"

Dataaugmentationinterventions ⭐ 10

Data Augmentation ⭐ 10

These functions will randomly distort image data to amplify total amount of images for use in machine learning algorithms.

Conceptextraction ⭐ 10

Nlp Augment ⭐ 10

A collection of utilities used in exploring data augmentation of low-resource parallel corpuses.

Data Augmentation For Object Detection ⭐ 10

Data Augmentation For Object Detection using Pytorch and PIL

A simple library for adding noise to data.

Object Classification And Localization With Tensorflow ⭐ 10

This repository is containing an object classification & localization project for SINGLE object.

Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.

A Library That Uses Quantized Diffusion Model With Clustered Weights For Efficiently Generating More Image Datasets On-Device.

201-300 of 385 search results

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