hcarlens / pytorch-tabular
Some examples of using PyTorch for tabular data
☆65Updated 4 years ago
Alternatives and similar repositories for pytorch-tabular:
Users that are interested in pytorch-tabular are comparing it to the libraries listed below
- ☆203Updated 3 years ago
- Deep Neural Decision Trees☆161Updated 3 years ago
- ☆347Updated 4 years ago
- ☆26Updated 5 years ago
- Scikit-learn compatible implementation of the Gauss Rank scaling method☆73Updated last year
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- ☆98Updated 3 weeks ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆85Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 11 months ago
- TabNet for fastai☆124Updated 2 weeks ago
- Implementations of Quantile Regression☆28Updated 6 years ago
- A way to use N-Beats in fastai for sequence data☆59Updated 2 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆116Updated 4 years ago
- Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"☆62Updated 2 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- ☆16Updated 3 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆214Updated 4 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆78Updated 4 years ago
- Implementations of quasi-hyperbolic optimization algorithms.☆102Updated 4 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- ☆71Updated 4 years ago
- This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…☆168Updated 5 years ago
- Pytorch implementation of GRU-ODE-Bayes☆230Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆422Updated 3 years ago
- ☆57Updated 11 months ago
- Hypergradient descent☆146Updated 11 months ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆180Updated 3 years ago
- Easy Custom Losses for Tree Boosters using Pytorch☆34Updated 4 years ago