Alternatives and similar repositories for pu-learning

Users that are interested in pu-learning are comparing it to the libraries listed below

• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆202Updated 8 months ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆201Updated 3 weeks ago
• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆242Updated 2 weeks ago
• datamole-ai / active-semi-supervised-clustering
  Active semi-supervised clustering algorithms for scikit-learn
  ☆102Updated 5 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆150Updated 3 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆151Updated 5 years ago
• rpryzant / causal-bert-pytorch
  Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
  ☆92Updated 3 years ago
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆65Updated last year
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆59Updated 2 years ago
• JointEntropy / awesome-ml-pu-learning
  A curated list of resources dedicated to Positive Unlabeled(PU) learning ML methods.
  ☆37Updated 3 years ago
• Alcoholrithm / TabularS3L
  A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
  ☆40Updated 8 months ago
• LeoGrin / tabular-benchmark
  ☆495Updated last year
• JieyuZ2 / Awesome-Weak-Supervision
  A curated list of programmatic weak supervision papers and resources
  ☆190Updated 2 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆56Updated last year
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆85Updated last year
• BingzhaoZhu / XTab
  ☆38Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆282Updated 2 years ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆305Updated last year
• kherud / neural-additive-models-pt
  PyTorch implementation for Neural Additive Models
  ☆25Updated 4 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
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• ZhangTP1996 / TapTap
  ☆67Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆279Updated this week
• clinicalml / TabLLM
  ☆324Updated 2 years ago
• JieyuZ2 / wrench
  [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
  ☆225Updated last year
• amaiya / causalnlp
  CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
  ☆154Updated 9 months ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆73Updated 4 years ago
• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆72Updated 2 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆109Updated 4 years ago
• sxjscience / automl_multimodal_benchmark
  Repository for Multimodal AutoML Benchmark
  ☆65Updated 3 years ago