Marionblyth

Marionblyth's Stars

• PolarisRisingWar/all-notes-in-one

  暂定本人博文全部非项目形式文件整合存放点

  Language:Jupyter Notebook34

• rileynwong/simple-pagerank

  Simple implementation of pagerank algorithm on a directed graph

  Language:Python33

• jinhongjung/pyrwr

  Python Implementation for Random Walk with Restart (RWR)

  Language:Python11825

• ryanrossi/dynamic-pagerank

  Dynamic PageRank

  Language:Matlab164

• petewarden/pagerankgraph

  Visualizes search engine ranking algorithms for a given domain

  Language:PHP306

• HKUST-KnowComp/Motif-based-PageRank

  Language:Python3517

• smutneja03/PageRank_Pyspark

  Contains the code and notes for the the algorithms namely Page Rank, Topic Sensitive Page Rank and HITS in Python using Spark Framework(PySpark)

  Language:Python1817

• bhaveshgawri/PageRank

  Implementation of PageRank algorithm along with TopicSpecific and TrustRank.

  Language:Python4419

• chonyy/PageRank-HITS-SimRank

  🎏 Python implementation of link analysis algorithm.

  Language:Python7531

• nzc/dnn_ctr

  The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

  Language:Python757283

• letiantian/TextRank4ZH

  :deciduous_tree:从中文文本中自动提取关键词和摘要

  Language:Python3.3k848

• gasteigerjo/ppnp

  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

  Language:Jupyter Notebook32154

• zihaozhang9/One-Shot-Learning

  小样本学习的一些方法

  133

• cpark321/meta-learning

  Language:Jupyter Notebook41

• hoyeoplee/pytorch-maml

  Language:Python178

• Knoxantropicen/model-based-meta-rl

  Self-implemented code for Model-Based Meta-Reinforcement Learning

  Language:Python172

• AntreasAntoniou/HowToTrainYourMAMLPytorch

  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

  Language:Python785138

• anishmadan23/B-SMALL

  This repo contains code for the paper: "B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning".

  Language:Python72

• tensorflow/addons

  Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

  Language:Python1.7k611

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.6k606

• Runist/MAML-keras

  Using keras and tf build MAML

  Language:Python5318

• Runist/torch_maml

  Very simple pytorch maml implement

  Language:Python10713

• tensorflow/community

  Stores documents used by the TensorFlow developer community

  Language:C++1.3k580

• AkiraZC/CATN

  The implementation of SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng and Aixin Sun

  Language:Python437

• lylbaidu/AGNN

  Code of our paper "Attribute Graph Neural Networks for Strict Cold Start Recommendation" accepted by TKDE 2020.

  Language:Python1517

• duxy-me/MTPR

  Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'

  Language:Python175

• Sherlock1118/conv_meta

  Code of《Improved Transfer-Meta Framework Base on Attention Embedding for Cross-domain Recommendation to Cold-Start Users》

  Language:Python7

• lc0/tf2up

  👨‍🎨A tiny web service to help you upgrade your TensorFlow code

  Language:Python137

• sudharsan13296/Hands-On-Meta-Learning-With-Python

  Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

  Language:Jupyter Notebook1.2k360

• yang-han/Self-Enhanced_GNN

  Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs (IJCNN2021)

  Language:Python52