Alternatives and similar repositories for SubTab_extended:

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

• GitiHubi / deepContinualAuditing
  ☆10Updated 3 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆144Updated 2 years ago
• ntucllab / imbalanced-DL
  A Python Package for Deep Imbalanced Learning
  ☆56Updated 2 months ago
• Thartvigsen / StopAndHop
  Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early
  ☆18Updated 7 months ago
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆56Updated 2 years ago
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 3 years ago
• BorealisAI / ssl-for-timeseries
  Self Supervised Learning for Time Series Using Similarity Distillation
  ☆10Updated 2 years ago
• daochenzha / autosmote
  [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification
  ☆10Updated 2 years ago
• sajaddarabi / ContrastiveMixup
  ☆19Updated last year
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• GuansongPang / deep-outlier-detection
  Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…
  ☆48Updated 4 years ago
• fgranese / DOCTOR
  Advances in Neural Information Processing Systems (NeurIPS 2021)
  ☆22Updated 2 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆40Updated 2 years ago
• divamgupta / deep-clustering-kingdra
  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
  ☆47Updated 4 years ago
• BingzhaoZhu / XTab
  ☆39Updated 2 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆77Updated last year
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆67Updated 3 years ago
• hoyeoplee / pytorch-maml
  ☆17Updated 2 years ago
• LARS-research / TabGNN
  ☆49Updated 3 years ago
• alextamkin / active-learning-pretrained-models
  Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…
  ☆11Updated 2 years ago
• AnonAuthorAI / duplebalance
  DuBE: Duple-balanced Ensemble Learning from Skewed Data
  ☆9Updated 2 years ago
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆23Updated 2 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆35Updated last year
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆43Updated 2 years ago
• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆103Updated last year
• Minqi824 / ADGym
  Official Implement of "ADGym: Design Choices for Deep Anomaly Detection", NeurIPS 2023
  ☆29Updated last year
• HangtingYe / UADB
  ☆13Updated 11 months ago
• VirtuosoResearch / Regularized-Self-Labeling
  A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
  ☆28Updated 2 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆147Updated 4 years ago