Alternatives and similar repositories for DEDPUL:

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

• MasaKat0 / PUlearning
  Code for Positive-Unlabeled learning.
  ☆35Updated 2 years ago
• evfro / HyperbolicRecommenders
  Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.
  ☆36Updated 4 years ago
• ZaydH / arbitrary_pu
  NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
  ☆14Updated last year
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• ML-KULeuven / SAR-PU
  Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data
  ☆33Updated 9 months ago
• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆229Updated last month
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• usaito / asymmetric-tri-rec-real
  (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’
  ☆21Updated 2 years ago
• acmi-lab / PU_learning
  Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…
  ☆44Updated last year
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 5 years ago
• daokunzhang / attri2vec
  code for paper "Attributed Network Embedding via Subspace Discovery"
  ☆21Updated 6 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 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
• layer6ai-labs / TAFA
  Code for the RecSys'20 paper "TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations"
  ☆19Updated 4 years ago
• JointEntropy / awesome-ml-pu-learning
  A curated list of resources dedicated to Positive Unlabeled(PU) learning ML methods.
  ☆35Updated 2 years ago
• satwik77 / libnmf
  Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)
  ☆33Updated 6 years ago
• cgartrel / nonsymmetric-DPP-learning
  PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.
  ☆24Updated 2 years ago
• vub-dl / cs-um
  Causal Simulations for Uplift Modeling
  ☆12Updated 5 years ago
• cimeister / pu-learning
  Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
  ☆86Updated 7 months ago
• yandex-research / GBDT-uncertainty
  ☆57Updated 10 months ago
• ashudeep / Fair-PGRank
  Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019
  ☆20Updated 2 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆123Updated 4 years ago
• grobgl / rnnsm
  ☆18Updated 7 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
• levelfour / SU_Classification
  Implementation for "Classification from Pairwise Similarity and Unlabeled Data"
  ☆27Updated 4 years ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated last year
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆56Updated 2 years ago
• jonathanwilton / PUExtraTrees
  uPU, nnPU and PN learning with Extra Trees classifier.
  ☆18Updated 4 months ago
• DavidMcDonald1993 / heat
  Reference implementation of the HEAT algorithm described in https://link.springer.com/chapter/10.1007/978-3-030-62362-3_4
  ☆11Updated 2 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago