221 Open source projects that are alternatives of or similar to Handwriting_recogition_using_adversarial_learning

Implementation of Papers on Adversarial Examples

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

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

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

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

Next RecSys Library

Data augmentation for NLP, presented at EMNLP 2019

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

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。

DeltaPy - Tabular Data Augmentation (by @firmai)

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

Efficient Learning of Augmentation Policy Schedules

Training neural models with structured signals.

Generative Adversarial Transformers

Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"

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

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

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

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

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Generative Adversarial Networks (GANs) resources sorted by citations

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

A treasure chest for image classification powered by PaddlePaddle

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

Awesome Domain Adaptation Python Toolbox

CVPR 2019: "Pluralistic Image Completion"

Must-read Papers on Textual Adversarial Attack and Defense

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

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

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

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

Light-weight Single Person Pose Estimator

Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)

Deep Convolutional Neural Networks for Musical Source Separation

Medical image preprocessing and augmentation toolkit for deep learning

Collection of generative models in Tensorflow

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

Implementation of the mixup training method

yolo(all versions) implementation in keras and tensorflow 2.4

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

A curated list of awesome graph representation learning.

Data augmentation tool for images

Speech Enhancement Generative Adversarial Network in TensorFlow

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

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".

[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks

DrQ: Data regularized Q

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN

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

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

PyTorch implementation of RICAP (Random Image Cropping And Patching)

Domain-Adversarial Neural Network in Tensorflow

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

A Toolbox for Adversarial Robustness Research

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

A system for quickly generating training data with weak supervision

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

PyTorch implementation of CycleGAN

Take further steps in the arms race of adversarial examples with only preprocessing.