Alternatives and similar repositories for pu_learning:

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

• phuijse / bagging_pu
  Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles
  ☆90Updated 8 years ago
• aldro61 / pu-learning
  Positive and unlabeled learning wrappers for scikit-learn
  ☆232Updated 7 years ago
• AaronWard / PU-learning-example
  An example repo for how PU Bagging and TSA works.
  ☆32Updated 4 years ago
• trokas / pu_learning
  PU learning using spies method
  ☆17Updated 5 years ago
• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆227Updated 2 weeks ago
• kiryor / nnPUlearning
  Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
  ☆298Updated 2 years ago
• JihongJu / deep-pu-learning
  Deep Learning with Positive and Unlabeled samples
  ☆54Updated 7 years ago
• MasaKat0 / PUlearning
  Code for Positive-Unlabeled learning.
  ☆36Updated 2 years ago
• antmachineintelligence / mtgbmcode
  mtgbmcode
  ☆168Updated 2 years ago
• ctjoy / item2vec
  Implement item2vec algorithm
  ☆77Updated 6 years ago
• ispras / pu4spark
  Positive-Unlabeled Learning for Apache Spark
  ☆42Updated 6 years ago
• JunhaoWang / fraudar
  ☆25Updated 5 years ago
• Nirvanada / Deep-and-Cross-Keras
  Keras Implementation for "Deep & Cross Network for Ad Click Predictions"
  ☆93Updated 3 years ago
• Nana0606 / student_and_teacher_classifier
  通过科研人员论文项目等数据，训练识别导师/学生的分类器。代码包括特征选择基础、网格搜索确定特征选择方法参数、不平衡数据的处理(oversampling、undersampling)和pu-learning方法在此问题上的应用
  ☆30Updated 5 years ago
• shun1024 / weighted-deepwalk
  weighted random walk implementation for deepwalk (in python)
  ☆86Updated 4 years ago
• bigdong89 / xgboostExtension
  xgboost Extension for Easy Ranking & TreeFeature
  ☆124Updated 5 years ago
• yyveggie / Positive-and-Unlabeled-Learning
  关于PU-Learning的仓库，部分来源于原文的链接。之后会附上。
  ☆23Updated 2 years ago
• a-agmon / pu-learn
  ☆27Updated 4 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated last year
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆248Updated 5 years ago
• neal668 / LightGBM-GBDT-LR
  a python code of applying GBDT+LR for CTR prediction
  ☆331Updated 6 years ago
• fany02656 / PLE-CGC-MTL-Video-Recommendation
  ☆10Updated 4 years ago
• luoling1993 / DataFountain-Intelligent-Credit-Score
  ☆84Updated 6 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 3 years ago
• siqi13579 / ctr_Keras
  LR, Wide&Deep, DCN, NFM, DeepFM, NFFM
  ☆116Updated 5 years ago
• qian135 / ctr_model_zoo
  some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interes…
  ☆71Updated 5 years ago
• busesese / Wide_Deep_Model
  wide deep ctr model by pytorch
  ☆26Updated 5 years ago
• dedekinds / Graph-Embedding
  Four network embedding algorithms(deepwalk, node2vec, TADW ,LINE) for two datasets(Cora, Tencent Weibo)
  ☆96Updated last year
• wangru8080 / gbdt-lr
  gbdt+lr
  ☆159Updated 5 years ago
• yzkang / QH_FInSight
  国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)
  ☆86Updated 6 years ago