111 Open source projects that are alternatives of or similar to Synthetic Occlusion

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

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

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

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

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

A treasure chest for image classification powered by PaddlePaddle

Augmentation package for 3d data based on albumentaitons

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

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

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

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

A curated list of papers, code and resources pertaining to few-shot image generation.

yolo(all versions) implementation in keras and tensorflow 2.4

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".

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

A system for quickly generating training data with weak supervision

No description or website provided.

Differentiable Data Augmentation Library

speechpro.com/

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

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

Data Augmentation For Object Detection

Korean Easy Data Augmentation

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

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

3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks

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

DrQ: Data regularized Q

[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)

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。

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

A data generator for 2D object detection

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

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

Text2Text: Cross-lingual natural language processing and generation toolkit

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

Consistency Regularization for Adversarial Robustness (AAAI 2022)

Efficient Learning of Augmentation Policy Schedules

Data Augmentation using NumPy

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

Reading data into tensorflow using tf.data function

Light-weight Single Person Pose Estimator

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

Data augmentation for NLP, presented at EMNLP 2019

ResNet for Cifar10

Deep Convolutional Neural Networks for Musical Source Separation

Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).

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

A time series signal analysis and classification framework

Implementation of the mixup training method

Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".

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

DeltaPy - Tabular Data Augmentation (by @firmai)

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

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

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

Medical image preprocessing and augmentation toolkit for deep learning

Data augmentation tool for images