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Search results for python data augmentation

data-augmentation x

253 search results found

Snorkel ⭐ 5,692

A system for quickly generating training data with weak supervision

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

Face.evolve ⭐ 3,074

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

Textattack ⭐ 2,597

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

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.

Nlpcda ⭐ 1,573

一键中文数据增强包； NLP数据增强、bert数据增强、EDA：pip install nlpcda

Eda_nlp ⭐ 1,405

Data augmentation for NLP, presented at EMNLP 2019

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.

Tixcraft_bot ⭐ 1,238

Max搶票機器人(maxbot) help you quickly buy your tickets

Nlp_xiaojiang ⭐ 1,129

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Senten Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification），实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征

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

Flownetpytorch ⭐ 773

Pytorch implementation of FlowNet by Dosovitskiy et al.

Voxceleb_trainer ⭐ 719

In defence of metric learning for speaker recognition

Random Erasing ⭐ 697

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Textflint ⭐ 577

Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

Openmixup ⭐ 538

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

Specaugment ⭐ 411

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

Efficient Learning of Augmentation Policy Schedules

Deepconvsep ⭐ 397

Deep Convolutional Neural Networks for Musical Source Separation

DrQ: Data regularized Q

Image_augmentor ⭐ 366

Data augmentation tool for images

DAGAN: Data Augmentation Generative Adversarial Networks

Imagecorruptions ⭐ 321

Python package to corrupt arbitrary images.

Implementation of the mixup training method

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

Brainstorm ⭐ 300

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

Synthcity ⭐ 292

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

A Python package for time series augmentation

Chinesener ⭐ 274

中文NER的那些事儿

Text2text ⭐ 268

Text2Text: Crosslingual NLP/G toolkit

Augraphy ⭐ 258

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

Evoskeleton ⭐ 198

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

A library for soundscape synthesis and augmentation

Syndata Generation ⭐ 190

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

Torch_videovision ⭐ 188

Transforms for video datasets in pytorch

Torchlm ⭐ 184

💎A high level pipeline for face landmarks detection, it supports training, evaluating, exporting, inference(Python/C++) and 100+ data augmentations, can easily install via pip.

Modelnet40 C ⭐ 184

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

A library for augmenting annotated audio data

Dataset_loaders ⭐ 177

A collection of dataset loaders

Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.

Tensorflow Mnist Cnn ⭐ 171

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Learning to Compose Domain-Specific Transformations for Data Augmentation

Question_extractor ⭐ 151

Generate question/answer training pairs out of raw text.

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)

Chainer Cifar10 ⭐ 132

Various CNN models for CIFAR10 with Chainer

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.

Easyreg ⭐ 130

an image registration/augmentation/segmentation package

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.

Smiles Enumeration ⭐ 115

SMILES enumeration for QSAR modelling using LSTM recurrent neural networks

Text Autoaugment ⭐ 112

Code for EMNLP 2021 main conference paper "Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification"

A library to synthesize text datasets using Large Language Models (LLM)

Unsupervised Data Augmentation ⭐ 110

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Social Nce ⭐ 108

[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

Data Augmentation with Variational Autoencoders (TPAMI)

MoEx (Moment Exchange)

Fcn_train ⭐ 100

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

[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)

A python library for instagram filters

Official implementation of our FLAG paper (CVPR2022)

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

Augmentation For Lnl ⭐ 89

[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".

Pytorch Auto Augment ⭐ 82

PyTorch implementation of AutoAugment.

Generalize Unseen Domains ⭐ 81

Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018

💡GENIUS – generating text using sketches!

Data augmentation using synthetic data for time series classification with deep residual networks

Pose Adv Aug ⭐ 79

Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)

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

Face_alignment ⭐ 76

caffe face alignment 300w

Emotionalconversionstargan ⭐ 75

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".

Seq2seqdataaugmentationforlu ⭐ 73

This repo is code for the COLING 2018 paper: Sequence-to-sequence Data Augmentation for Dialogue Language Understanding.

Self Supervised Mvs ⭐ 70

Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

Synthetic Occlusion ⭐ 70

Synthetic Occlusion Augmentation

My implementation of RePr training scheme in PyTorch. https://arxiv.org/pdf/1811.07275.pdf

AAAI'21: Data Augmentation for Graph Neural Networks

NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation

GolfDB: A Video Database for Golf Swing Sequencing

Mnist Challenge ⭐ 64

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

Data_generator_object_detection_2d ⭐ 63

A data generator for 2D object detection

This repository has implementations of data augmentation for NLP for Japanese.

Semantic_segmentation ⭐ 61

Semantic Segmentation using Fully Convolutional Neural Network.

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

Pa Aug.pytorch ⭐ 58

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (IROS 2021)

Self Kd Lib ⭐ 56

[ECCV-2022] Official implementation of MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition && Pytorch Implementations of some Self-Knowledge Distillation and data augmentation methods

GAN based super-resolution (presented at ECCV 2018)

Logic_guided_qa ⭐ 52

The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".

Mix Generation ⭐ 51

MixGen: A New Multi-Modal Data Augmentation

Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"

Kitanaqa ⭐ 47

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Unet Ants ⭐ 46

UNet deep learning model for medical image segmentation

Specaugment ⭐ 45

Tensor2tensor experiment with SpecAugment

Keras Audiodatagenerator ⭐ 44

Augmented Audio Data Generator for 1D-Convolutional Neural Networks

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