AdaGCL

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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.

A python library for self-supervised learning on images.

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.

Paper Lists for Graph Neural Networks

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