This is a thesis project about comparing imputation performances between deep learning methods and conventional statistical methods. In this project, GAIN and VAE with One-Hot and trainable embeddings for categorical variables were built for deep learning methods. MICE and Miss-Forest were chosen for representing conventional statistical methods…
☆19Oct 22, 2024Updated last year
Alternatives and similar repositories for DL-vs-Stat_Impute
Users that are interested in DL-vs-Stat_Impute are comparing it to the libraries listed below
Sorting:
- Demonstration code for missing data imputation using Variational Autoencoders (VAE)☆23Mar 25, 2019Updated 6 years ago
- Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R…☆42Jun 21, 2022Updated 3 years ago
- Demo for METSC: A microstructure estimation Transformer inspired by sparse representation for diffusion MRI (MedIA 2023).☆12Nov 13, 2023Updated 2 years ago
- An implementation to Convolutional generative adversarial imputation networks for spatio-temporal missing data Nets Paper (Conv-GAIN)☆11Jun 10, 2022Updated 3 years ago
- git for paper "CTAB-GAN: Effective Table Data Synthesizing"☆13Apr 25, 2022Updated 3 years ago
- ☆10Feb 10, 2023Updated 3 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆104Jun 20, 2021Updated 4 years ago
- ☆13Sep 11, 2018Updated 7 years ago
- Interactive quality analysis for two-dimensional embeddings☆13Oct 14, 2025Updated 5 months ago
- Repository for MAST30034☆15May 14, 2021Updated 4 years ago
- Codebase for "SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation"☆17Jan 18, 2022Updated 4 years ago
- Graph Imputation Neural Network☆79Mar 4, 2020Updated 6 years ago
- A network based gene classification library to generate genome wide predictions about genes that are functionally similar to the input ge…☆20Jan 20, 2026Updated last month
- ☆18Apr 20, 2018Updated 7 years ago
- MisGAN: Learning from Incomplete Data with GANs☆81Oct 3, 2023Updated 2 years ago
- Autoencoder network for imputing missing values☆27May 13, 2019Updated 6 years ago
- Large-Scale Canine Cutaneous Mast Cell Tumor Dataset for Mitotic Figure Assessment on Whole Slide Images☆30Jun 9, 2025Updated 9 months ago
- PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"☆28Mar 5, 2019Updated 7 years ago
- ☆30Apr 24, 2024Updated last year
- VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning☆40Feb 2, 2019Updated 7 years ago
- tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…☆153May 1, 2019Updated 6 years ago
- Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.☆174Oct 29, 2022Updated 3 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Mar 16, 2024Updated last year
- This is a curated list of research on diffusion models for tabular data, and serves as the official repository for the survey paper "Diff…☆80Oct 13, 2025Updated 5 months ago
- ☆43Jul 2, 2019Updated 6 years ago
- NIPS2018 paper☆192Jan 20, 2019Updated 7 years ago
- Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"☆50Jul 6, 2023Updated 2 years ago
- PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with…☆65Dec 16, 2025Updated 2 months ago
- 📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python☆65Sep 28, 2023Updated 2 years ago
- Generative adversarial network for generating electronic health records.☆283Aug 19, 2019Updated 6 years ago
- Missing data amputation and exploration functions for Python☆72Dec 17, 2022Updated 3 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆77Dec 17, 2020Updated 5 years ago
- ☆76Sep 30, 2022Updated 3 years ago
- ☆85Jun 26, 2019Updated 6 years ago
- Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute in…☆410Mar 5, 2026Updated last week
- This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.☆117Mar 11, 2024Updated 2 years ago
- Imputation of missing values in tables.☆493Jan 14, 2026Updated last month
- Weakly-/Semi-Supervised Learning in Computer vision☆133Apr 25, 2022Updated 3 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆177Jun 22, 2022Updated 3 years ago