Alternatives and similar repositories for Research-Paper-Note

Users that are interested in Research-Paper-Note are comparing it to the libraries listed below

• qinjr / RIM
  code for RIM
  ☆22Updated 2 years ago
• Xiaoyinggit / ConUCB
  ☆11Updated 5 years ago
• chongminggao / DORL-codes
  Source codes for our SIGIR '23 paper
  ☆31Updated last year
• chongminggao / CIRS-codes
  This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"
  ☆76Updated last year
• Applied-Machine-Learning-Lab / RMTL
  ☆28Updated last year
• modriczhang / HRL-Rec
  "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
  ☆57Updated 3 years ago
• jerryhao66 / HRL
  ☆61Updated 6 years ago
• chongminggao / KuaiRec
  KwaiRec: A Fully-observed Dataset for Recommender Systems.
  ☆164Updated 7 months ago
• ssui-liu / learnable-embed-sizes-for-RecSys
  A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems
  ☆66Updated 4 years ago
• RecFlow-ICLR / RecFlow
  ☆53Updated 11 months ago
• Applied-Machine-Learning-Lab / KuaiSim
  ☆31Updated 11 months ago
• chongminggao / EasyRL4Rec
  ☆102Updated last year
• BetsyHJ / SOFA
  A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.
  ☆21Updated 4 years ago
• siat-nlp / CpRec
  A Generic Network Compression Framework for Sequential Recommender Systems
  ☆19Updated 5 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆72Updated 5 years ago
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆74Updated 3 years ago
• maenzhier / GRecX
  An Efficient and Unified Benchmark for GNN-based Recommendation.
  ☆78Updated 2 years ago
• facebookresearch / AdaTT
  pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations"
  ☆53Updated last year
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 2 years ago
• racp-submission / racp
  ☆15Updated 4 years ago
• ruizhang-ai / SIGN-Detecting-Beneficial-Feature-Interactions-for-Recommender-Systems
  Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021
  ☆33Updated 4 years ago
• SungMinCho / BERT4Rec-PyTorch
  ☆49Updated last year
• CRIPAC-DIG / GraphCTR
  This repo includes some graph-based CTR prediction models and other representative baselines.
  ☆68Updated last year
• chongminggao / KuaiRand
  An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
  ☆99Updated 7 months ago
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆29Updated 4 years ago
• dgliu / SIGIR20_KDCRec
  Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
  ☆32Updated 5 years ago
• weitianxin / MACR
  [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
  ☆76Updated 4 years ago
• alimama-tech / NeurIPS_Auto_Bidding_AIGB_Track_Baseline
  the baseline for NeurIPS_Auto_Bidding_AIGB_Track
  ☆69Updated last year
• Wenhui-Yu / LCFN
  Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…
  ☆78Updated 2 years ago
• ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_Systems
  Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022
  ☆25Updated 3 years ago