Popular GitHub Repositories for Conditioning Augmentation

Image augmentation for machine learning experiments.

A system for quickly generating training data with weak supervision

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

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

Image augmentation library in Python for machine learning.

Data augmentation for NLP

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

TextAttack ? is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

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

Medical imaging processing for deep learning.

Unsupervised Data Augmentation (UDA)

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

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 for NLP, presented at EMNLP 2019

Official Implementation of 'Fast AutoAugment' in PyTorch.

Efficient Retrieval Augmentation and Generation Framework

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

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

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。

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training