Alternatives and similar repositories for realmlp-td-s_standalone

Users that are interested in realmlp-td-s_standalone are comparing it to the libraries listed below

• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆92Updated 3 weeks ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆77Updated last month
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆23Updated 2 years ago
• ran-xie / boosted-conformal
  ☆39Updated 6 months ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆79Updated 4 months ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆205Updated 3 weeks ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆79Updated last month
• autogluon / tabrepo
  A Living Benchmark for Machine Learning on Tabular Data
  ☆100Updated this week
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆163Updated last year
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆117Updated last year
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆48Updated last week
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆19Updated 3 months ago
• EtashGuha / R2CCP
  ☆22Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆69Updated 2 months ago
• xRiskLab / pearsonify
  Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal p…
  ☆19Updated last month
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆114Updated 2 months ago
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆22Updated 5 months ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆86Updated 2 years ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated 2 years ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆120Updated last year
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆48Updated 3 years ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆63Updated 3 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆73Updated last year
• Ennosigaeon / auto-sktime
  ☆19Updated last year
• ServiceNow / TACTiS
  TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
  ☆136Updated last year
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆34Updated 4 years ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆163Updated 2 weeks ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆371Updated 3 months ago
• jambo6 / generalised-signature-method
  Code for: "A Generalised Signature Method for Time Series"
  ☆64Updated 2 years ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆82Updated 3 weeks ago