NeonJing

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LLM-Agents-Papers

A repo lists papers related to LLM based agent

Language:Python94500

MMRec

A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

Language:PythonGPL-3.031300

BM3

Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23

Language:PythonGPL-3.04900

BD_WWW2021

Bidirectional Distillation for Top-K Recommender System (WWW 2021)

Language:Jupyter NotebookGPL-3.01400

mdistiller

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/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

Language:Python77800

SGDL

Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.

Language:PythonApache-2.01700

Summary-of-Recommender-System-Papers

阅读过的推荐系统论文的归类总结，持续更新中…

BOD

[KDD'23] Official PyTorch implementation for "Efficient Bi-Level Optimization for Recommendation Denoising".

Language:Python700

MFH

[ICLR 23 oral] The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation

Language:Python3200

ODMT

[ACM'MM 2023 Oral] Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation

Language:PythonApache-2.01500

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Language:Jupyter NotebookMIT2445100

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Language:Jupyter NotebookApache-2.02515500

MicroLens

A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

Language:Python11900

IDvs.MoRec

End-to-end Training for Multimodal Recommendation Systems

Language:PythonApache-2.012000

MMSR

An Empirical Study of Training Multi-modal Sequential Recommendation Models

Language:Python900

DenoisingRec

Adaptive Denoising Training (ADT) for Recommendation.

Language:Python6600