Alternatives and similar repositories for Deep-Learning-for-Recommendation-Systems

Users that are interested in Deep-Learning-for-Recommendation-Systems are comparing it to the libraries listed below

• ChenglongChen / tensorflow-XNN
  4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
  ☆284Updated 7 years ago
• alexeygrigorev / outbrain-click-prediction-kaggle
  Solution to the Outbrain Click Prediction competition
  ☆148Updated 8 years ago
• CuteChibiko / TalkingData
  TalkingData AdTracking Fraud Detection Challenge
  ☆104Updated 7 years ago
• xiaozhouwang / kaggle-porto-seguro
  2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
  ☆155Updated 6 years ago
• sonyisme / keras-recommendation
  Using Keras to implement recommender systems
  ☆325Updated 9 years ago
• yufengg / widendeep
  wide and deep labs and samples
  ☆139Updated 6 years ago
• babakx / fm_tensorflow
  Factorization Machines implementation with Tensorflow
  ☆142Updated 7 years ago
• lystdo / Codes-for-WSDM-CUP-Music-Rec-1st-place-solution
  ☆187Updated 7 years ago
• Leavingseason / OpenLearning4DeepRecsys
  Some deep learning based recsys for open learning.
  ☆400Updated 7 years ago
• jrzaurin / Wide-and-Deep-Keras
  Keras implementation of Tensorflow's Wide and Deep Algorithm
  ☆161Updated 6 years ago
• plantsgo / Rental-Listing-Inquiries
  kaggle:Two Sigma Connect: Rental Listing Inquiries--top1
  ☆127Updated 5 years ago
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆88Updated 6 years ago
• mquad / sars_tutorial
  Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
  ☆344Updated 4 years ago
• yarny / gbdt
  Gradient boosting decision trees.
  ☆365Updated 6 years ago
• ycjuan / kaggle-avazu
  ☆447Updated last year
• owenzhang / kaggle-avazu
  2nd place solution for Avazu click-through rate prediction competition
  ☆439Updated 10 years ago
• jfpuget / LibFM_in_Keras
  This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.
  ☆188Updated 7 years ago
• ttvand / Santander-Product-Recommendation
  2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
  ☆178Updated 3 years ago
• sjvasquez / instacart-basket-prediction
  Kaggle | Instacart Market Basket Analysis🥕🥉
  ☆506Updated 8 years ago
• ChenglongChen / kaggle-HomeDepot
  3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
  ☆466Updated 6 years ago
• VasiliyRubtsov / wsdm_music_recommendations
  ☆48Updated 7 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 4 years ago
• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆113Updated 2 years ago
• ichuang / tflearn_wide_and_deep
  Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.
  ☆145Updated 9 years ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 7 years ago
• kwonmha / Improving-RNN-recommendation-model
  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
  ☆53Updated 6 years ago
• Leavingseason / rnn_recsys
  Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
  ☆140Updated 6 years ago
• shenweichen / Tencent_Social_Ads2017_Mobile_App_pCVR
  Tencent Social Ads 2017 contest rank 20
  ☆158Updated 8 years ago
• turi-code / python-libffm
  A Python wrapper for the libffm library.
  ☆241Updated 7 years ago
• jfloff / pywFM
  pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM
  ☆252Updated 6 years ago