111 Open source projects that are alternatives of or similar to Imagecorruptions

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

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

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

A system for quickly generating training data with weak supervision

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

Differentiable Data Augmentation Library

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

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

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".

Data Augmentation For Object Detection

A treasure chest for image classification powered by PaddlePaddle

No description or website provided.

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

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

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

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

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

Data augmentation tool for images

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

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

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

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

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

Augmentation package for 3d data based on albumentaitons

Medical image preprocessing and augmentation toolkit for deep learning

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。

Data Augmentation using NumPy

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

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

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

Efficient Learning of Augmentation Policy Schedules

A data generator for 2D object detection

Light-weight Single Person Pose Estimator

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

Deep Convolutional Neural Networks for Musical Source Separation

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

Implementation of the mixup training method

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

DeltaPy - Tabular Data Augmentation (by @firmai)

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

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

Copy-paste augmentation for segmentation and detection tasks

DrQ: Data regularized Q

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

PyTorch implementation of RICAP (Random Image Cropping And Patching)

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

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

Data augmentation for NLP, presented at EMNLP 2019

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

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

Text2Text: Cross-lingual natural language processing and generation toolkit

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

Consistency Regularization for Adversarial Robustness (AAAI 2022)

Synthetic Occlusion Augmentation

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

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

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

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

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

yolo(all versions) implementation in keras and tensorflow 2.4