Alternatives and similar repositories for distill_cf:

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

• noveens / infinite_ae_cf
  [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…
  ☆55Updated last year
• noveens / sampling_cf
  [ WSDM '22 ] On Sampling Collaborative Filtering Datasets
  ☆20Updated 3 years ago
• xiaxin1998 / OD-Rec
  Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'
  ☆12Updated 2 years ago
• rutgerswiselab / AutoLossGen
  AutoLossGen: Automatic Loss Function Generation for Recommender Systems
  ☆22Updated 2 years ago
• salesforce / RGRecSys
  ☆18Updated 2 years ago
• salesforce / SRMA
  Contrastive Learning with Model Augmentation
  ☆17Updated 2 years ago
• hasteck / EDLAE_NeurIPS2020
  ☆12Updated 4 years ago
• cydonia999 / variational-autoencoders-for-collaborative-filtering-pytorch
  Implementation of variational autoencoders for collaborative filtering in PyTorch
  ☆25Updated 5 years ago
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆70Updated 3 years ago
• yaochenzhu / Deep-Deconf
  Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
  ☆26Updated 2 years ago
• HarrieO / 2021-SIGIR-plackett-luce
  ☆32Updated 2 years ago
• YushenLi807 / WWW24-RAT
  The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)
  ☆29Updated last year
• xiangning-chen / SIF
  Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"
  ☆25Updated 5 years ago
• ContentWise / contentwise-impressions
  This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …
  ☆12Updated 2 years ago
• layer6ai-labs / MCL
  Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"
  ☆12Updated 3 years ago
• fuyuanlyu / OptEmbed
  This repository contains PyTorch Implementation of CIKM 2022 research-track paper: OptEmbed: Learning Optimal Embedding Table for Click-t…
  ☆14Updated last year
• stillpsy / popbias
  ☆16Updated 2 years ago
• CharlieMat / PivotCVAE
  This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"
  ☆13Updated 3 years ago
• junkangwu / Adap_tau
  [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"
  ☆29Updated last year
• AIflowerQ / InvPref_KDD_2022
  KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation
  ☆22Updated 2 years ago
• Zziwei / Item-Underrecommendation-Bias
  Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems
  ☆15Updated 4 years ago
• usaito / unbiased-implicit-rec-real
  (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
  ☆30Updated 2 years ago
• TempSDU / STEAM
  ☆10Updated 2 years ago
• BetsyHJ / DANCER
  ☆8Updated 3 years ago
• ACMRecSys / recsys-datasets
  A link to repositories with datasets useful for recommendation tasks
  ☆19Updated last year
• usaito / asymmetric-tri-rec-real
  (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’
  ☆21Updated 2 years ago
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
  ☆30Updated 3 years ago
• yueqirex / LRURec
  [WSDM 2024] Official PyTorch Implementation of Linear Recurrent Units for Sequential Recommendation (LRURec)
  ☆56Updated last month
• ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_Systems
  Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022
  ☆24Updated 2 years ago