Alternatives and similar repositories for PUExtraTrees:

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

• guangxinsuuu / Positive-and-Unlabeled-Learning-from-Imbalanced-Data
  Code for the paper named "Positive-Unlabeled Learning from Imbalanced Data" which has been accepted by IJCAI-21
  ☆15Updated 3 years ago
• xinxingwu-uk / FAE
  ☆12Updated 2 years ago
• IsolationKernel / Codes
  ☆51Updated last month
• Joye9285 / scGAC
  single-cell graph attentional clustering
  ☆12Updated 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…
  ☆43Updated 10 months ago
• xuebaliang / scziDesk
  Deep soft K-means clustering with self-training for single cell RNA sequence data
  ☆24Updated 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
• Philyzh8 / scTAG
  "ZINB-based Graph Embedding Autoencoder for Single-cell RNA-seq Interpretations" in AAAI 2022
  ☆21Updated last year
• wenting-zhao / mpvae
  A pytorch implementation of mpvae.
  ☆13Updated 4 years ago
• ZaydH / arbitrary_pu
  NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
  ☆14Updated last year
• xuehansheng / DeepMNE-CNN
  [Briefings in Bioinformatics'20] Integrating multi-network topology for gene function prediction using deep neural networks
  ☆13Updated 5 years ago
• VITA-Group / Self-PU
  [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…
  ☆67Updated 3 years ago
• ciortanmadalina / graph-sc
  ☆17Updated 3 years ago
• JinyuCai95 / EDESC-pytorch
  ☆25Updated 2 years ago
• ngoc-nguyen-0 / DGG
  Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…
  ☆50Updated 4 years ago
• ZixiangLuo1161 / scGAE
  single-cell graph autoencoder
  ☆21Updated 3 years ago
• dimonenka / DEDPUL
  DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning, ICMLA 2020
  ☆17Updated 3 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated last year
• jasonyanglu / SMCL
  Self-Adaptive Multi-Prototype-based Competitive Learning
  ☆16Updated 5 years ago
• MasaKat0 / PUlearning
  Code for Positive-Unlabeled learning.
  ☆35Updated 2 years ago
• mohsengh / SCFS
  Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering
  ☆14Updated 3 years ago
• zhangsz1998 / Self-Expressive-Network
  ☆33Updated last year
• wxr99 / HolisticPU
  Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]
  ☆9Updated last year
• rvinas / HYFA
  Hypergraph Factorisation
  ☆22Updated 2 months ago
• lab-conrad / resVAE
  resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…
  ☆12Updated 2 years ago
• AiXia520 / MLWSE
  Multi-Label Classification with Weighted Classifier Selection and Stacked Ensemble
  ☆14Updated 4 years ago
• xypan1232 / DimiG
  Inferring disease-associated miRNAs
  ☆10Updated 4 years ago
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆23Updated last year
• gayanku / SCGC
  Pytorch implementation of Influence Augmented Contrastive (IAC) loss and SCGC : Self-Supervised Contrastive Graph Clustering (https://a…
  ☆22Updated 2 years ago
• asn32 / weighted-nmf
  wNMF: Weighted Non-Negative Matrix Factorization
  ☆15Updated last year