runopti / stgLinks
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
☆108Updated 3 years ago
Alternatives and similar repositories for stg
Users that are interested in stg are comparing it to the libraries listed below
Sorting:
- ☆119Updated 3 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆103Updated 4 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆149Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆147Updated 3 years ago
- Feature selection in neural networks☆243Updated last year
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆187Updated 3 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆88Updated 3 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 6 years ago
- ☆91Updated 2 years ago
- Detecting Statistical Interactions from Neural Network Weights☆49Updated 5 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- A package for Multiple Kernel Learning in Python☆132Updated 2 years ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆84Updated last year
- ☆42Updated 2 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆63Updated 5 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆288Updated 2 years ago
- Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series☆132Updated 3 years ago
- A framework for prototyping and benchmarking imputation methods☆196Updated 2 years ago
- Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021☆29Updated 2 years ago
- ☆62Updated 4 years ago
- Discrete-Time Survival Model for Neural Networks☆92Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆87Updated 2 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆23Updated last year
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- ☆10Updated 4 years ago
- Contrastive Variational Autoencoders☆69Updated 6 years ago
- A benchmark for distribution shift in tabular data☆55Updated last year
- An amortized approach for calculating local Shapley value explanations☆100Updated last year