Alternatives and similar repositories for awesome-tabpfn

Users that are interested in awesome-tabpfn are comparing it to the libraries listed below

• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆40Updated this week
• PriorLabs / tabpfn-extensions
  Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
  ☆180Updated this week
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆38Updated 5 months ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆31Updated this week
• PriorLabs / tabpfn-client
  ⚡ Easy API access to the tabular foundation model TabPFN ⚡
  ☆192Updated last week
• autogluon / fev
  Forecast evaluation library
  ☆97Updated this week
• PriorLabs / tabpfn-time-series
  Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
  ☆261Updated last month
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆71Updated last year
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆45Updated 3 weeks ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• 4Freye / panelsplit
  A tool for performing cross-validation with panel data
  ☆21Updated 5 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• NX-AI / tirex
  TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
  ☆164Updated last week
• Techtonique / nnetsauce
  Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
  ☆20Updated 2 weeks ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated 3 weeks ago
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated 8 months ago
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆26Updated 2 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆114Updated 4 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆81Updated 2 months ago
• MLDreamer / Linkedin-posts
  ☆22Updated last week
• Gattocrucco / bartz
  Super-fast BART (Bayesian Additive Regression Trees) in Python
  ☆71Updated this week
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 2 years ago
• CausalML-Lab / PCMCI-Omega
  Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"
  ☆18Updated 10 months ago
• ServiceNow / context-is-key-forecasting
  Context is Key: A Benchmark for Forecasting with Essential Textual Information
  ☆71Updated 3 weeks ago
• yubin-park / califorest
  Calibrated Random Forests
  ☆40Updated 5 years ago
• alanarazi7 / TabSTAR
  TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations
  ☆48Updated this week
• patrickzib / motiflets
  Motiflets
  ☆48Updated last week
• ML4ITS / synthetic-data
  Generate synthetic time-series using generative adversarial networks. Functional end-to-end system for dataset generation, model registry…
  ☆17Updated 3 years ago
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆89Updated 2 months ago