Showing 1-17 of 17 projects
A powerful system for quickly generating high-quality training data with weak supervision for AI/ML projects.
A highly optimized GPU-accelerated library for accelerating deep learning training and inference applications.
A high-performance face recognition library for developers built on PaddlePaddle and PyTorch.
TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
A high-performance I/O system for large deep learning problems with strong PyTorch support.
TorchIO is a Python library for efficient medical image preprocessing and data augmentation for AI applications.
A one-key Chinese data augmentation package for NLP and BERT model training.
Accelerate data curation and augmentation with this scalable, free tool for image and video analysis.
Data augmentation for NLP using CNN and RNN, presented at EMNLP 2019
A comprehensive collection of data augmentation resources and techniques for developers working with AI tools.
A comprehensive NLP toolkit for Chinese language processing, including chatbots, text similarity, classification, and more.
A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.
A Python library for easy data augmentation of Chinese text corpora using the EDA (Easy Data Augmentation) technique.
A comprehensive survey on knowledge distillation techniques for large language models.
A Jupyter Notebook library for applying data augmentation techniques to improve object detection models.
A fast and customizable PyTorch library for audio data augmentation, useful for deep learning applications.
A curated collection of papers on generative information extraction using large language models.
Get weekly updates on trending AI coding tools and projects.