hoyahh

hoyahh's Stars

• WujiangXu/AMID

  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".

  Language:Python281

• jeongwhanchoi/BSPM

  Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

  Language:Python999

• YiyanXu/DiffRec

  Diffusion Recommender Model

  Language:Python19628

• CHIANGEL/Awesome-Diffusion-for-RecSys

  Diffusion Models, Recommender Systems, Recommendation, Diff4Rec

  325

• VinciZhu/GiffCF

  Official implementation of "Graph Signal Diffusion Model for Collaborative Filtering" (SIGIR 2024)

  Language:Python112

• wiseodd/generative-models

  Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

  Language:Python7.4k2k

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.8k1.1k

• NicolasHug/Surprise

  A Python scikit for building and analyzing recommender systems

  Language:Python6.5k1k

• guoyang9/NCF

  A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

  Language:Python34265

• yihong-chen/neural-collaborative-filtering

  pytorch version of neural collaborative filtering

  Language:Jupyter Notebook488155

• huangtinglin/NGCF-PyTorch

  PyTorch Implementation for Neural Graph Collaborative Filtering

  Language:Python29181

• xiangwang1223/neural_graph_collaborative_filtering

  Neural Graph Collaborative Filtering, SIGIR2019

  Language:Python812268

• hexiangnan/neural_collaborative_filtering

  Neural Collaborative Filtering

  Language:Python1.8k655

• Arthur-Heng/NLGraph

  Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)

  Language:Python1185

• GraphSAINT/GraphSAINT

  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

  Language:Python47687

• IR-LLM/Awesome-Information-Retrieval-in-the-Age-of-Large-Language-Model

  A curated list of awesome papers about information retrieval(IR) in the age of large language model(LLM). These include retrieval augmented large language model, large language model for information retrieval, and so on.

  526

• mandarjoshi90/triviaqa

  Code for the TriviaQA reading comprehension dataset

  Language:Python29544

• fishmoon1234/DAG-GNN

  Language:Python29468

• Yelp/dataset-examples

  Samples for users of the Yelp Academic Dataset

  Language:Python1.2k615

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k27.5k

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python15.7k2.5k

• allenai/allennlp

  An open-source NLP research library, built on PyTorch.

  Language:Python11.8k2.3k

• allenai/kb

  KnowBert -- Knowledge Enhanced Contextual Word Representations

  Language:Python37351

• shichence/AutoInt

  Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

  Language:Python20248

• batch-norm/xDeepFM

  xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

  Language:Python13139

• xiaotianzhao/deep_fm

  implementation of "DeepFM: A Factorization-Machine based Neural Network for CTR Prediction"

  Language:Python61

• domluna/memn2n

  End-To-End Memory Network using Tensorflow

  Language:Python342134

• jeykigung/P5

  Language:Python31945

• ollama/ollama

  Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

  Language:Go106k8.5k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.5k9.6k