Alternatives and similar repositories for PUlearning

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

• kiryor / nnPUlearning
  Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
  ☆306Updated 2 years ago
• ZaydH / arbitrary_pu
  NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
  ☆17Updated 2 years ago
• weitongseu / PU-Learning
  This repo lists some researches and applications in PU learning.
  ☆12Updated 5 years ago
• ML-KULeuven / SAR-PU
  Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data
  ☆33Updated last year
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated 2 years ago
• aldro61 / pu-learning
  Positive and unlabeled learning wrappers for scikit-learn
  ☆235Updated 7 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆125Updated 5 years ago
• cimeister / pu-learning
  Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
  ☆91Updated last year
• aister2020 / KDDCUP_2020_AutoGraph_1st_Place
  KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution
  ☆99Updated 4 years ago
• HKUST-KnowComp / semihin
  source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…
  ☆31Updated 8 years ago
• lukasruff / CVDD-PyTorch
  A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
  ☆71Updated 3 years ago
• leichaocn / graph_representation_learning
  ☆37Updated 6 years ago
• joeybose / Meta-Graph
  Meta-Learning for Few Shot Link Prediction
  ☆50Updated 5 years ago
• CyberZHG / keras-gcn
  Graph convolutional layers
  ☆62Updated 3 years ago
• shangjingbo1226 / ESim
  ☆36Updated 7 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆47Updated 6 years ago
• google / gcnn-survey-paper
  ☆174Updated 5 years ago
• GarrettLee / nnpu_tf
  Code for reproducing experiments on MNIST and CIFAR-10 in paper "Positive-Unlabeled Learning with Non-Negative Risk Estimator".
  ☆21Updated 3 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• mnqu / PTE
  ☆96Updated 8 years ago
• roywright / pu_learning
  Experiments in positive-unlabeled learning
  ☆124Updated 7 years ago
• dimonenka / DEDPUL
  DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning, ICMLA 2020
  ☆18Updated 4 years ago
• THUDM / ScenarioMeta
  Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"
  ☆81Updated last year
• THUDM / ProNE
  Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"
  ☆237Updated 5 years ago
• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆242Updated last week
• datamole-ai / active-semi-supervised-clustering
  Active semi-supervised clustering algorithms for scikit-learn
  ☆102Updated 5 years ago
• jjrob13 / sklearn_cotraining
  An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit…
  ☆75Updated 6 years ago
• yuan-li / truth-inference-at-scale
  ☆20Updated 6 years ago
• shun1024 / weighted-deepwalk
  weighted random walk implementation for deepwalk (in python)
  ☆85Updated 4 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 6 years ago