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AgentScope: Agent-Oriented Programming for Building LLM Applications
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/
RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. 纯原生实现RAG功能，基于本地LLM、embedding模型、reranker模型实现，支持GraphRAG，无须安装任何第三方agent库。
[NeurIPS'24] Knowledge Graph Fine-Tuning using LLMs
The offical implementation of [NeurIPS2024] Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation https://arxiv.org/abs/2412.08139
The official implementation of the CVPR'2022 paper Hyperspherical Consistency Regularization.
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content…
[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
Awesome Papers About Performing Prompting On Graphs
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
PyTorch implementation of Lessons on Parameter Sharing across Layers in Transformers
Feature Fusion for Online Mutual Knowledge Distillation Code
This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).
a collection of AWESOME things about Optimal Transport in Deep Learning
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
An Open-Source Package for Knowledge Embedding (KE)
PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.
[NAACL2024 main] Code Repository for our paper - The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing
A list of recent papers about Link Prediction.