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Lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

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DyGLib

A Library for Dynamic Graph Learning (NeurIPS 2023)

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FuxiCTR

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

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Exercise-Recommendation-System

we build a student simulator with our concept-aware deep knowledge tracing model, and then use it to train a flexible and scalable personalized exercise recommendation policy with deep reinforcement learning

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DHGNN

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

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NineRec

Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System

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MLP4Rec

IJCAI 2022 MLP4Rec

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EasyRec

A framework for large scale recommendation algorithms.

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GraphPro

[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"

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MIND

Pytorch implementation of paper: Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

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ComiRec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

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SIGIR21-SURGE

Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".

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CLSR

The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)

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RDRec

[ACL 2024] RDRec: Rationale Distillation for LLM-based Recommendation

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LEADER-pytorch

[arXiv'24] The official implementation code of LEADER.

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LLaMA-Factory

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

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dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

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GraphGPT

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

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LLMTreeRec

The implement of LLMTreeRec

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LLM4Rec-Awesome-Papers

A list of awesome papers and resources of recommender system on large language model (LLM).

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XRec

[EMNLP'2024] "XRec: Large Language Models for Explainable Recommendation"

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LLM4RS

the official implementation of the RecSys 2023 paper “Uncovering ChatGPT's Capabilities in Recommender Systems”

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Graph-Mamba

Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces

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HiddenMambaAttn

Official PyTorch Implementation of "The Hidden Attention of Mamba Models"

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RecMamba

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation

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