alok-ai-lab / DeepInsight

Related projects ⓘ

Alternatives and complementary repositories for DeepInsight

• alok-ai-lab / pyDeepInsight
  A python implementation of the DeepInsight methodology.
  ☆158Updated last week
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆157Updated 5 months ago
• mlpapers / feature-selection
  Awesome papers on Feature Selection
  ☆34Updated 9 months ago
• johaupt / GANbalanced
  ☆18Updated 5 years ago
• justinengelmann / GANbasedOversampling
  ☆62Updated last year
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆101Updated last year
• nicomignoni / tab2img
  A tool to convert tabular data into images, in order to be used by CNNs Inspired by the "DeepInsight" paper.
  ☆25Updated 3 years ago
• vd1371 / PyImbalReg
  Pre-processing technics for imbalanced datasets in regression modelling
  ☆11Updated 2 years ago
• sydney-machine-learning / GANclassimbalanced
  GANs for class imbalanced problems
  ☆26Updated 2 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆29Updated 7 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆143Updated 2 years ago
• TannerGilbert / Model-Interpretation
  Overview of different model interpretability libraries.
  ☆46Updated 2 years ago
• a-agmon / anomaly_det
  ☆15Updated 2 years ago
• EmjayAhn / SuperTML-pytorch
  A pytorch implementation of "SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data"
  ☆28Updated 5 years ago
• GH920 / improved-bagan-gp
  Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.
  ☆35Updated 2 years ago
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆80Updated last month
• helenzhao093 / MLMethods
  Implementations of various feature selection methods
  ☆23Updated 3 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
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆76Updated 4 years ago
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆43Updated 5 years ago
• Team-TUD / CTAB-GAN-Plus
  Official GitHub for CTAB-GAN+
  ☆69Updated 6 months ago
• liuyilin950623 / SHAP_on_Autoencoder
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆28Updated 4 years ago
• CVxTz / DeepTabular
  ☆37Updated 4 years ago
• johanndejong / VaDER
  Deep learning for clustering of multivariate short time series with potentially many missing values
  ☆41Updated 8 months ago
• bvshyam / ctgan_tabular_data
  Creating tabular GAN on credit card dataset
  ☆15Updated 4 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated last year
• bilalmirza8519 / LSTM-VAE
  Unsupervised Deep Learning for Temporal Multi-Omics
  ☆24Updated 5 years ago
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆167Updated 3 years ago
• jacobmontiel / AdaptiveXGBoostClassifier
  Implementation of the Adaptive XGBoost classifier for evolving data streams
  ☆40Updated 4 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆165Updated last year