111 Open source projects that are alternatives of or similar to Nlp Data Augmentation

Medical image preprocessing and augmentation toolkit for deep learning

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

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

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

Data augmentation tool for images

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

A treasure chest for image classification powered by PaddlePaddle

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"

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

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

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（Sentence 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，文本特征工程，keras-http-service调用

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

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

Data Augmentation For Object Detection

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

yolo(all versions) implementation in keras and tensorflow 2.4

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

A system for quickly generating training data with weak supervision

A Python package for time series augmentation

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

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

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

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

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

Differentiable Data Augmentation Library

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

PyTorch implementation of RICAP (Random Image Cropping And Patching)

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

Bu repoda veri artırma (data augmentation) ile ilgili pratik uygulamalara ulaşabilirsiniz.

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

Data augmentation for NLP, presented at EMNLP 2019

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

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

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

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

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

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

Python package to corrupt arbitrary images.

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

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

Efficient Learning of Augmentation Policy Schedules

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

Light-weight Single Person Pose Estimator

Synthetic Occlusion Augmentation

Deep Convolutional Neural Networks for Musical Source Separation

Copy-paste augmentation for segmentation and detection tasks

Implementation of the mixup training method

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

DeltaPy - Tabular Data Augmentation (by @firmai)

A library for augmenting annotated audio data

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

A data generator for 2D object detection

DrQ: Data regularized Q

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

DIAR software for synthetic document image and groundtruth generation, with various degradation models for data augmentation

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

A library for soundscape synthesis and augmentation

Transforms for video datasets in pytorch

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

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