史上最全Python数据分析资料

A curated list of papers on cold-start recommendations.

official implementation of "Med-Unic: unifying cross-lingual medical vision-language pre-training by diminishing bias"

SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)

Implementation of "Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation (ICDMW2023)"

The code for our paper under review

Beyond Co-occurrence: Multi-modal Session-based Recommendation

A Chinese medical ChatGPT based on LLaMa, training from large-scale pretrain corpus and multi-turn dialogue dataset.

Large Language Model-enhanced Recommender System Papers

Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

[ACL2023] Source code for Dialogue Summarization with Static-Dynamic Structure Fusion Graph

Self-supervised Graph Disentangled Networks for Review-based Recommendation

Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

🦜🔗 Build context-aware reasoning applications

机器学习算法的公式推导以及numpy实现

[KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"

该仓库尝试整理推荐系统领域的一些经典算法模型

该仓库主要记录 NLP 算法工程师相关的面试题

该仓库尝试整理推荐系统领域的一些经典算法模型

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models