Alternatives and similar repositories for pyten

Users that are interested in pyten are comparing it to the libraries listed below

• Matrix-Factorization-Bandit / IMFB-KDD2019
  Code for the experiments of Matrix Factorization Bandit
  ☆24Updated 6 years ago
• jinohoh / WSDM17_shot
  ☆8Updated 8 years ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆21Updated 2 years ago
• StatsDLMathsRecomSys / Generative-Graph-Convolutional-Network-for-Growing-Graphs
  ☆12Updated 5 years ago
• rballester / tensor_notes
  ☆14Updated 6 years ago
• datamllab / pyten
  Python Package for Tensor Completion Algorithms
  ☆35Updated 5 years ago
• AlgorithmFan / BPTF
  Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
  ☆21Updated 8 years ago
• myamada0321 / pyCFM
  Convex Factorization Machine (Squared loss)
  ☆7Updated 7 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 6 years ago
• kamdh / tvart
  Time-varying Autoregression with Low Rank Tensors
  ☆15Updated 3 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆18Updated 8 years ago
• alexbeutel / FlexiFaCT
  Run large scale tensor and coupled matrix-tensor factorization on top of stock Hadoop.
  ☆18Updated 7 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• aiueola / wsdm2022-cascade-dr
  (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"
  ☆13Updated last year
• dferendo / RecommendationSystem
  ☆10Updated 4 years ago
• olivierjeunen / pessimism-recsys-2021
  Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.
  ☆11Updated 2 years ago
• hanliu95 / DFM
  Discrete Factorization Machines
  ☆10Updated 7 years ago
• meowoodie / Learning-Temporal-Point-Processes-via-Reinforcement-Learning
  PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.
  ☆14Updated 6 years ago
• BjornarVass / Recsys
  ☆22Updated 3 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 6 years ago
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆22Updated last year
• CharlieMat / PivotCVAE
  This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"
  ☆14Updated 4 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 5 years ago
• meowoodie / Reinforcement-Learning-of-Spatio-Temporal-Point-Processes
  A general framework for learning spatio-temporal point processes via reinforcement learning
  ☆31Updated 4 years ago
• hasteck / MRF_NeurIPS_2019
  Markov Random Fields for Collaborartive Filtering
  ☆21Updated 5 years ago
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆24Updated 2 years ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆60Updated 7 years ago
• Vachik-Dave / Neural-Brane-Neural-Bayesian-Personalized-Ranking-for-Attributed-Network-Embedding
  ☆14Updated 6 years ago
• cgartrel / nonsymmetric-DPP-learning
  PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.
  ☆24Updated 2 years ago
• ysyushi / prep
  Code and data for paper PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks
  ☆16Updated 7 years ago