zhuyitan / IGTDLinks
Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
☆169Updated last year
Alternatives and similar repositories for IGTD
Users that are interested in IGTD are comparing it to the libraries listed below
Sorting:
- Experiments on Tabular Data Models☆279Updated 2 years ago
- A python implementation of the DeepInsight methodology.☆171Updated last week
- A methodology to transform a non-image data to an image for convolution neural network architecture☆33Updated 3 years ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆290Updated 10 months ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆451Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆149Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆147Updated 3 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆199Updated 7 months ago
- A framework for prototyping and benchmarking imputation methods☆196Updated 2 years ago
- Feature selection in neural networks☆243Updated last year
- ☆490Updated last year
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆84Updated last year
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆611Updated 10 months ago
- ☆52Updated 2 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆187Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆87Updated 2 years ago
- TensorFlow implementation of TabTransformer☆84Updated 2 years ago
- For calculating global feature importance using Shapley values.☆276Updated last week
- Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…☆346Updated last year
- ☆65Updated 2 years ago
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆487Updated last year
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆167Updated last year
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆989Updated 7 months ago
- Missing Data Imputation for Python☆246Updated last year
- Multiple Imputation with LightGBM in Python☆390Updated last year
- We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review …☆556Updated 3 months ago
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆101Updated 2 years ago
- A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…☆673Updated last year
- A tool to convert tabular data into images, in order to be used by CNNs Inspired by the "DeepInsight" paper.☆26Updated 9 months ago