LevinRoman / tabular-transfer-learningLinks
A repo for transfer learning with deep tabular models
☆105Updated 2 years ago
Alternatives and similar repositories for tabular-transfer-learning
Users that are interested in tabular-transfer-learning are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆150Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆152Updated 5 years ago
- Experiments on Tabular Data Models☆282Updated 2 years ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆85Updated last year
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆173Updated last year
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆202Updated last month
- An amortized approach for calculating local Shapley value explanations☆103Updated 2 years ago
- For calculating global feature importance using Shapley values.☆280Updated last week
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- A benchmark for distribution shift in tabular data☆57Updated last year
- ☆499Updated last year
- A framework for prototyping and benchmarking imputation methods☆195Updated 2 years ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆458Updated 3 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆62Updated last month
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆109Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆253Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆107Updated last year
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆65Updated 3 years ago
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆59Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- ☆19Updated 2 years ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆83Updated 6 months ago
- Neural Additive Models (Google Research)☆30Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- ☆62Updated 4 years ago