Flurs🌊 FluRS: A Python library for streaming recommendation algorithms
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SAMNThis is our implementation of SAMN: Social Attentional Memory Network
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Fastfm fastFM: A Library for Factorization Machines
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RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
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RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
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FmgKDD17_FMG
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NARREThis is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
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DaisyrecA developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks
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Music recommenderMusic recommender using deep learning with Keras and TensorFlow
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Recsys2019 deeplearning evaluationThis is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
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DeepctrEasy-to-use,Modular and Extendible package of deep-learning based CTR models .
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RsalgorithmsSome algorithms about traditional and social recommendation.
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Text classificationall kinds of text classification models and more with deep learning
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RecommendersTensorFlow Recommenders is a library for building recommender system models using TensorFlow.
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Keras Self AttentionAttention mechanism for processing sequential data that considers the context for each timestamp.
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Recsim A Configurable Recommender Systems Simulation Platform
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Keras AttentionVisualizing RNNs using the attention mechanism
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Pytorch FmFactorization Machine models in PyTorch
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Awesome Graph ClassificationA collection of important graph embedding, classification and representation learning papers with implementations.
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Recsys19 hybridsvdAccompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
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LightctrLightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
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Pytorch Original TransformerMy implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
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Chatbot cn基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
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Nmt KerasNeural Machine Translation with Keras
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TffmTensorFlow implementation of an arbitrary order Factorization Machine
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BuffaloTOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
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YeddaYEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.
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Ag CnnThis is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")
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Awesome Recsys PapersThe awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
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Transformer TtsA Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
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TextclassifierText classifier for Hierarchical Attention Networks for Document Classification
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Pointer summarizerpytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
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Neural spEnd-to-end ASR/LM implementation with PyTorch
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Pytorch GatMy implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
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PaperrobotCode for PaperRobot: Incremental Draft Generation of Scientific Ideas
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SasrecSASRec: Self-Attentive Sequential Recommendation
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Isab PytorchAn implementation of (Induced) Set Attention Block, from the Set Transformers paper
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RecnnReinforced Recommendation toolkit built around pytorch 1.7
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MoviegeekA django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
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LightfmA Python implementation of LightFM, a hybrid recommendation algorithm.
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Product NetsTensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
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Awesome Bert NlpA curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
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SimgnnA PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
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Rfdmovies Client🎬instant recommending or finding or downloading movies via the command line
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Newsrecommendsystem个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
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