machinelearningnuremberg / WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
☆85Updated 2 years ago
Alternatives and similar repositories for WellTunedSimpleNets:
Users that are interested in WellTunedSimpleNets are comparing it to the libraries listed below
- ☆153Updated last year
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆143Updated 2 years ago
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆69Updated last month
- Compare and ensemble models without retraining☆55Updated this week
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆43Updated last month
- A benchmark for distribution shift in tabular data☆52Updated 10 months ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆45Updated 2 years ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.☆18Updated last month
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆188Updated 2 months ago
- ☆60Updated 4 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆81Updated 2 weeks ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆148Updated 4 years ago
- Tabular In-Context Learning☆59Updated last month
- TabDPT: Scaling Tabular Foundation Models☆26Updated last week
- Beta calibration☆29Updated last year
- Experiments on Tabular Data Models☆277Updated last year
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 5 months ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆77Updated last year
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆90Updated last month
- ☆10Updated 4 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆356Updated 2 weeks ago
- ☆477Updated 8 months ago
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆62Updated 10 months ago
- ☆22Updated last year
- TimeSHAP explains Recurrent Neural Network predictions.☆174Updated last year
- [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization☆14Updated last year
- Neural Additive Models (Google Research)☆69Updated 3 years ago