1090994959

1090994959's Stars

• wepe/MachineLearning

  Basic Machine Learning and Deep Learning

  Language:Python5.2k3.2k

• thunlp/KB2E

  Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

  Language:C++1.4k450

• D2KLab/recsys18_challenge

  Scripts and data for the RecSys 2018 challenge

  Language:Jupyter Notebook44

• daicoolb/Awesome-Graph-Embedding

  Awesome Graph Embedding Techinques

  5718

• cheungdaven/DeepRec

  An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

  Language:Python1.1k293

• wx-chevalier/AI-Notes

  :books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

  Language:Jupyter Notebook760242

• Leavingseason/OpenLearning4DeepRecsys

  Some deep learning based recsys for open learning.

  Language:Python398153

• nzc/dnn_ctr

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

  Language:Python757283

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.7k3.3k

• Johnson0722/CTR_Prediction

  CTR prediction using FM FFM and DeepFM

  Language:Python746298

• charleshm/deep-ctr

  Language:Python9125

• ChenglongChen/tensorflow-DeepFM

  Tensorflow implementation of DeepFM for CTR prediction.

  Language:Python2k808

• nosuggest/CTR_Prediction

  CTR prediction using FM FFM and DeepFM

  Language:Python25

• jinze1994/ATRank

  An Attention-Based User Behavior Modeling Framework for Recommendation

  Language:Python364125

• yufengg/widendeep

  wide and deep labs and samples

  Language:Jupyter Notebook14045

• NicolasHug/Surprise

  A Python scikit for building and analyzing recommender systems

  Language:Python6.4k1k

• tflearn/tflearn

  Deep learning library featuring a higher-level API for TensorFlow.

  Language:Python9.6k2.4k

• cemoody/lda2vec

  Language:Python3.1k627

• gutouyu/ML_CIA

  公众号: 机器学习荐货情报局 所有代码

  Language:Python547296

• hongleizhang/RSPapers

  RSTutorials: A Curated List of Must-read Papers on Recommender System.

  6.2k1.3k

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k74.3k

• D2KLab/entity2rec

  entity2rec generates item recommendation using property-specific knowledge graph embeddings

  Language:Python18444

• D2KLab/entity2vec

  Generates a set of property-specific entity embeddings from knowledge graphs using node2vec

  Language:Python7724

• aditya-grover/node2vec

  Language:Scala2.6k914

• 1090994959/snap

  Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

  Language:C++1

• hidasib/GRU4Rec

  GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

  Language:Python762224

• thunlp/NRLPapers

  Must-read papers on network representation learning (NRL) / network embedding (NE)

  Language:TeX2.5k647

• bojone/tf_word2vec

  a tensorflow version of Word2Vec with a new loss

  Language:Python11549

• wojzaremba/lstm

  Language:Lua663283

• karpathy/char-rnn

  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

  Language:Lua11.6k2.6k