174 Open source projects that are alternatives of or similar to Pedestrian Synthesis Gan

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

Speech Enhancement Generative Adversarial Network in TensorFlow

Collection of generative models in Tensorflow

DrQ: Data regularized Q

Light-weight Single Person Pose Estimator

Medical image preprocessing and augmentation toolkit for deep learning

Data augmentation tool for images

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

A system for quickly generating training data with weak supervision

PyTorch implementation of RICAP (Random Image Cropping And Patching)

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

[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

Data Augmentation For Object Detection

Deep Convolutional Neural Networks for Musical Source Separation

PyTorch implementation of CycleGAN

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

yolo(all versions) implementation in keras and tensorflow 2.4

Implementation of Papers on Adversarial Examples

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

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

A treasure chest for image classification powered by PaddlePaddle

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".

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

CVPR 2019: "Pluralistic Image Completion"

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

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

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

Generative Adversarial Networks (GANs) resources sorted by citations

Generative Adversarial Transformers

Codes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17

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

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

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

Differentiable Data Augmentation Library

Implementation of the mixup training method

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

DeltaPy - Tabular Data Augmentation (by @firmai)

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.

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 by Backtranslation (DAB) ヽ( •_-)ᕗ

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

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

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

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

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

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

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

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

Invert the color of MNIST images with PyTorch

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

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

Data augmentation for NLP, presented at EMNLP 2019

Efficient Learning of Augmentation Policy Schedules

A data generator for 2D object detection

Research Framework for easy and efficient training of GANs based on Pytorch

Keras implementations of Generative Adversarial Networks.

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

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