Alternatives and similar repositories for SuffixTransformerNetwork

Users that are interested in SuffixTransformerNetwork are comparing it to the libraries listed below

• SelfExplainML / GamiNet-PyTorch
  ☆12Updated 2 years ago
• LeoGrin / tabular-benchmark
  ☆492Updated last year
• raseidi / skpm
  A process mining library built upon scikit-learn!
  ☆22Updated 3 weeks ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,478Updated last week
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 3 years ago
• aangelopoulos / conformal-prediction
  Lightweight, useful implementation of conformal prediction on real data.
  ☆966Updated 4 months ago
• davenza / PyBNesian
  PyBNesian is a Python package that implements Bayesian networks.
  ☆48Updated 2 months ago
• yandex-research / rtdl
  Research on Tabular Deep Learning: Papers & Packages
  ☆1,064Updated 11 months ago
• hfawaz / cd-diagram
  Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
  ☆292Updated 3 years ago
• awslabs / fortuna
  A Library for Uncertainty Quantification.
  ☆920Updated 6 months ago
• manujosephv / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,588Updated this week
• yromano / cqr
  Conformalized Quantile Regression
  ☆290Updated 3 years ago
• IntelLabs / bayesian-torch
  A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
  ☆627Updated 6 months ago
• understandable-machine-intelligence-lab / Quantus
  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
  ☆627Updated 3 months ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆278Updated last week
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆614Updated 11 months ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆451Updated this week
• ValentinMargraf / ActiveLearningPipelines
  Specificy, execute and monitor performances of active learning pipelines.
  ☆23Updated last year
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆301Updated 11 months ago
• davinhill / BivariateShapley
  Bivariate Shapley is a Shapley-based method of identifying directional feature interactions and feature redundancy
  ☆20Updated 5 months ago
• dmbeaglehole / xRFM
  xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
  ☆27Updated this week
• piEsposito / blitz-bayesian-deep-learning
  A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
  ☆977Updated 2 years ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,460Updated 3 months ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆195Updated 2 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆134Updated 2 months ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆548Updated 2 weeks ago
• lucidrains / tab-transformer-pytorch
  Implementation of TabTransformer, attention network for tabular data, in Pytorch
  ☆1,011Updated 8 months ago
• kiudee / pareto-embeddings
  Advanced choice modeling with multidimensional utility representations.
  ☆12Updated last year
• nickkunz / smogn
  Synthetic Minority Over-Sampling Technique for Regression
  ☆346Updated last year
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆279Updated 2 years ago