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
• ZaydH / arbitrary_pu
  NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
  ☆14Updated last year
• 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
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆227Updated 3 weeks ago
• ML-KULeuven / SAR-PU
  Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data
  ☆34Updated 7 months ago
• myamada0321 / pyCFM
  Convex Factorization Machine (Squared loss)
  ☆7Updated 6 years ago
• asn32 / weighted-nmf
  wNMF: Weighted Non-Negative Matrix Factorization
  ☆15Updated last year
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆121Updated 4 years ago
• yandex-research / GBDT-uncertainty
  ☆54Updated 8 months ago
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated last year
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 7 years ago
• vub-dl / cs-um
  Causal Simulations for Uplift Modeling
  ☆11Updated 5 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
• layer6ai-labs / TAFA
  Code for the RecSys'20 paper "TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations"
  ☆19Updated 4 years ago
• qiangsiwei / poincare_embedding
  Poincaré Embedding
  ☆40Updated 7 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 4 years ago
• david-cortes / poismf
  (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)
  ☆46Updated 7 months ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆22Updated 5 years ago
• daokunzhang / attri2vec
  code for paper "Attributed Network Embedding via Subspace Discovery"
  ☆21Updated 6 years ago
• stat-ml / ncvis-examples
  Examples for NCVis Python wrapper.
  ☆9Updated 4 years ago
• grobgl / rnnsm
  ☆18Updated 7 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• younader / dnnr
  The Python package of differential nearest neighbors regression (DNNR): Raising KNN-regression to levels of gradient boosting method. Bui…
  ☆16Updated 2 years ago
• hkiyomaru / pu-learning
  A collection of notebooks that implement algorithms introduced in "Learning from positive and unlabeled data: a survey"
  ☆35Updated 5 months ago
• paras2612 / CauseBox
  Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…
  ☆20Updated 3 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated 8 months ago
• ispras / pu4spark
  Positive-Unlabeled Learning for Apache Spark
  ☆42Updated 6 years ago
• datamole-ai / active-semi-supervised-clustering
  Active semi-supervised clustering algorithms for scikit-learn
  ☆98Updated 4 years ago
• david-cortes / hpfrec
  Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
  ☆79Updated 3 weeks ago