machinelearningnuremberg / WellTunedSimpleNetsLinks
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
☆86Updated 2 years ago
Alternatives and similar repositories for WellTunedSimpleNets
Users that are interested in WellTunedSimpleNets are comparing it to the libraries listed below
Sorting:
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆165Updated last year
- Conformalized Quantile Regression☆284Updated 3 years ago
- Experiments on Tabular Data Models☆279Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆47Updated 3 years ago
- ☆485Updated last year
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆145Updated 3 years ago
- ☆205Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆149Updated 4 years ago
- A framework for prototyping and benchmarking imputation methods☆196Updated 2 years ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆79Updated 3 months ago
- ☆62Updated 4 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆103Updated last week
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆75Updated 10 months ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆379Updated 4 months ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆83Updated last year
- For calculating global feature importance using Shapley values.☆275Updated last week
- A Living Benchmark for Machine Learning on Tabular Data☆122Updated last week
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆197Updated 6 months ago
- Tabular In-Context Learning☆89Updated 6 months ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆446Updated 3 years ago
- Python Meta-Feature Extractor package.☆133Updated 3 weeks ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆244Updated 2 years ago
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆93Updated 2 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆106Updated last year
- Benchmark time series data sets for PyTorch☆36Updated last year