Pinned Repositories
ADL
Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)
awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合
BilinearReview_journal
Personalized Sentiment Classification of Customer Reviews via an Interactive Attributes Attention Model
Conciseness
Conciseness is Better: Recurrent Attention LSTM Model for Document-Level Sentiment Analysis
free-programming-books
:books: Freely available programming books
imbalanced-algorithms
Python-based implementations of algorithms for learning on imbalanced data.
MA-Bert
MA-BERT Learning Representation by Incorporating Multi-Attribute Knowledge in Transformers
PLoRA
[AAAI‘24] The official PyTorch implimentation of our AAAI 2024 paper: Personalized LoRA for Human-Centered Text Understanding
pytorch-best-practice-master
SoftWareDesign_2023Summer
软件设计与开发作业说明
yoyo-yun's Repositories
yoyo-yun/MA-Bert
MA-BERT Learning Representation by Incorporating Multi-Attribute Knowledge in Transformers
yoyo-yun/PLoRA
[AAAI‘24] The official PyTorch implimentation of our AAAI 2024 paper: Personalized LoRA for Human-Centered Text Understanding
yoyo-yun/BilinearReview_journal
Personalized Sentiment Classification of Customer Reviews via an Interactive Attributes Attention Model
yoyo-yun/Conciseness
Conciseness is Better: Recurrent Attention LSTM Model for Document-Level Sentiment Analysis
yoyo-yun/awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合
yoyo-yun/free-programming-books
:books: Freely available programming books
yoyo-yun/SoftWareDesign_2023Summer
软件设计与开发作业说明
yoyo-yun/Attribute-based-LN
The repo for AI-Transformer.
yoyo-yun/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
yoyo-yun/awesome-knowledge-graph
整理知识图谱相关学习资料
yoyo-yun/BertForMaskedLM-Performance
BERT MLM 성능 체크
yoyo-yun/CrossNER
CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)
yoyo-yun/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
yoyo-yun/Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
yoyo-yun/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
yoyo-yun/DG_RRR
Repository of Domain Generalization via Switch Knowledge Distillation for Robust Review Representation
yoyo-yun/Dive-into-DL-PyTorch
本项目将《动手学深度学习》原书中的MXNet代码实现改为PyTorch实现。
yoyo-yun/E2LN
yoyo-yun/ecco
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
yoyo-yun/EMNLP_2020_datasets
All datasets in experiments used in the proposed paper
yoyo-yun/federated-distillation
The code for Heterogeneous Federated Distillation with Mutual Information Maximization
yoyo-yun/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
yoyo-yun/lihang-code
《统计学习方法》的代码实现
yoyo-yun/LMD
Code of Layerwised Multimodal Knowledge Distillation for Vision-Language Pretrained Model
yoyo-yun/M2A
yoyo-yun/Multi_view_journal
yoyo-yun/SciencePlots
Matplotlib styles for scientific plotting
yoyo-yun/semeval22_structured_sentiment
SemEval-2022 Shared Task 10: Structured Sentiment Analysis
yoyo-yun/TH-CPL
清华大学计算机学科推荐学术会议和期刊列表
yoyo-yun/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.