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[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"
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.
TextAttack ? is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
A collection of research papers and software related to explainability in graph machine learning.
Library for the analysis of networks
一键中文数据增强包 ; NLP数据增强、bert数据增强、EDA:pip install nlpcda