pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

《统计学习方法》的代码实现

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Data augmentation for NLP

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Datasets, tools, and benchmarks for representation learning of code.

Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

欢迎来到 "LLM-travel" 仓库！探索大语言模型（LLM）的奥秘 🚀。致力于深入理解、探讨以及实现与大模型相关的各种技术、原理和应用。

Code Implementation of "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".

Instructional learning for Aspect Based Sentiment Analysis [NAACL-2024]

文本分类baseline：BERT、半监督学习UDA、对抗学习、数据增强

This repository contains the corpora and supplementary data, along with instructions for recreating the experiments, for our paper: "End-to-end Named Entity Recognition and Relation Extraction usin…

Code for our ICLR 2024 paper "PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts"

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)

Code for the paper Domain Adaptation with Linear Transformations