a-norcliffe / Composite-Feature-SelectionLinks
Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
☆23Updated 2 years ago
Alternatives and similar repositories for Composite-Feature-Selection
Users that are interested in Composite-Feature-Selection are comparing it to the libraries listed below
Sorting:
- Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates☆24Updated 2 years ago
- Weight Predictor Networks with Sparse Feature Selection for Small Size Tabular Biomedical Data. Published at AAAI 2023☆19Updated 2 years ago
- C-Mixup for NeurIPS 2022☆73Updated 2 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆105Updated 4 years ago
- Local explanations with uncertainty 💐!☆42Updated 2 years ago
- ☆122Updated 3 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆150Updated 3 years ago
- ☆53Updated 2 months ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago
- Mutual Information Based Feature Selection in Python☆20Updated last year
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆59Updated 3 months ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 4 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆56Updated 2 years ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆89Updated last year
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆35Updated 3 years ago
- A curated list of resources dedicated to Positive Unlabeled(PU) learning ML methods.☆37Updated 3 years ago
- [ICML'24] Official PyTorch Implementation of TimeX++☆29Updated last year
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆109Updated 3 years ago
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 4 years ago
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…☆22Updated last year
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Updated 4 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆27Updated 3 years ago
- Evidential Deep Learning in PyTorch☆68Updated 3 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated 2 years ago
- Contrastive Variational Autoencoders☆72Updated 6 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- ☆51Updated 4 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 5 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆33Updated 2 years ago
- Code Repository for ICML 2020 accepted paper, named "A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Le…☆12Updated 4 years ago