machinelearningnuremberg / WellTunedSimpleNets

Related projects: ⓘ

• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆100Updated last year
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• naszilla / tabzilla
  ☆109Updated 5 months ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆141Updated 2 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆69Updated 7 months ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆65Updated 3 weeks ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆161Updated last year
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆46Updated this week
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆156Updated last year
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆67Updated 2 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated 11 months ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆43Updated 3 months ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆241Updated 2 years ago
• sanatonek / time_series_explainability
  ☆59Updated 3 years ago
• betacal / python
  Beta calibration
  ☆24Updated 7 months ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆149Updated this week
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆60Updated 2 years ago
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆101Updated 5 months ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆143Updated 3 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆76Updated last year
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆118Updated 3 months ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆265Updated last year
• aangelopoulos / conformal_classification
  Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…
  ☆223Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆244Updated this week
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆29Updated 3 years ago
• classifier-calibration / hands_on
  ☆16Updated 4 years ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆41Updated 2 months ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆40Updated 3 months ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆33Updated 7 months ago
• LeoGrin / tabular-benchmark
  ☆442Updated last month