machinelearningnuremberg / WellTunedSimpleNetsLinks
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
☆88Updated 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?"☆170Updated last year
- Conformalized Quantile Regression☆293Updated 3 years ago
- ☆205Updated 3 years ago
- ☆493Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆457Updated 3 years ago
- Experiments on Tabular Data Models☆280Updated 2 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆149Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆151Updated 5 years ago
- For calculating global feature importance using Shapley values.☆279Updated last week
- Tabular In-Context Learning☆93Updated 8 months ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆85Updated last year
- A framework for prototyping and benchmarking imputation methods☆195Updated 2 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆200Updated 2 weeks ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆251Updated 2 years ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆60Updated 3 weeks ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆83Updated 5 months ago
- TimeSHAP explains Recurrent Neural Network predictions.☆193Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆174Updated last year
- ☆62Updated 4 years ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆65Updated 3 years ago
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆384Updated 6 months ago
- ☆58Updated last year
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆76Updated last year
- An amortized approach for calculating local Shapley value explanations☆102Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago