a-agmon

a-agmon's Stars

• BaseModelAI/cleora

  Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

  Language:Jupyter Notebook49553

• CRIPAC-DIG/SR-GNN

  [AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

  Language:Python823270

• hugochan/KATE

  Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

  Language:Python14249

• hsd1503/event2vec

  Event2vec: Learning Representations of Events on Temporal Sequences. APWeb-WAIM 2017

  Language:Python2

• vi3k6i5/flashtext

  Extract Keywords from sentence or Replace keywords in sentences.

  Language:Python5.6k601

• scikit-learn-contrib/skope-rules

  machine learning with logical rules in Python

  Language:Jupyter Notebook62598

• Songweiping/GRU4Rec_TensorFlow

  TensorFlow implemenation of GRu4Rec model

  Language:Python21690

• Jackson-Kang/Pytorch-VAE-tutorial

  A simple tutorial of Variational AutoEncoders with Pytorch

  Language:Jupyter Notebook33877

• franckjay/TorchEASE

  Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch

  Language:Jupyter Notebook3410

• Darel13712/ease_rec

  embarrassingly shallow autoencoder

  Language:Python6616

• ilya-shenbin/RecVAE

  The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"

  Language:Python11031

• GTmac/FastRP

  Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"

  Language:Jupyter Notebook556

• benedekrozemberczki/karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

  Language:Python2.2k246

• ZW-ZHANG/RandNE

  This is a sample implementation of "Billion-scale Network Embedding with Iterative Random Projection" (ICDM 2018).

  Language:Python182

• khanhnamle1994/MetaRec

  PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

  Language:Python30078

• pmixer/SASRec.pytorch

  PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

  Language:Python35695

• louisabraham/fastnode2vec

  Fast and scalable node2vec implementation

  Language:Python898

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.7k1k

• jason2249/cs224w

  Language:Python43

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.4k3.1k

• cerlymarco/MEDIUM_NoteBook

  Repository containing notebooks of my posts on Medium

  Language:Jupyter Notebook2.1k975

• oegedijk/keras-embeddings

  Example of how to use entity embeddings (similar to word embeddings such as word2vec, but then generalized for any categorical feature) in a Keras model.

  Language:Python111

• navefr/ExKMC

  Expanding Explainable K-Means Clustering

  Language:Jupyter Notebook9312

• fastcluster/fastcluster

  Fast hierarchical clustering routines for R and Python.

  Language:C++13835

• BGU-CS-VIL/dpmmpython

  Python wrapper for the DPMMSubCluster Julia package for inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

  Language:Python183

• arvkevi/kneed

  Knee point detection in Python :chart_with_upwards_trend:

  Language:Python73874

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python15.5k2.5k

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.9k494

• shenweichen/DeepCTR

  Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

  Language:Python7.6k2.2k

• rixwew/pytorch-fm

  Factorization Machine models in PyTorch

  Language:Python1k225