Alternatives and similar repositories for tabpfn-client

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

• PriorLabs / tabpfn-extensions
  Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
  ☆233Updated last week
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆261Updated last month
• PriorLabs / tabpfn-time-series
  Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
  ☆323Updated last week
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆166Updated this week
• microsoft / ticl
  Tabular In-Context Learning
  ☆101Updated 9 months ago
• OpenTabular / DeepTab
  DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dist…
  ☆283Updated last week
• autogluon / autogluon-assistant
  Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation
  ☆230Updated last week
• ersilia-os / chempfn
  Ensemble-based, size-agnostic wrapper for the TabPFN classifier
  ☆33Updated last year
• NX-AI / tirex
  TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
  ☆226Updated last week
• noahho / CAAFE
  Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automat…
  ☆177Updated last year
• csinva / imodelsX
  Interpret text data with LLMs (sklearn compatible).
  ☆172Updated 2 months ago
• givasile / effector
  Effector - a Python package for global and regional effect methods
  ☆117Updated 2 weeks ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆270Updated 3 months ago
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆161Updated 4 months ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆313Updated last week
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆68Updated last year
• automl / amltk
  A build-it-yourself AutoML Framework
  ☆72Updated last year
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆176Updated last year
• worldbank / REaLTabFormer
  A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
  ☆242Updated 5 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆62Updated 2 weeks ago
• LennartPurucker / finetune_tabpfn_v2
  Code for finetuning TabPFN on one downstream tabular dataset.
  ☆82Updated 3 months ago
• blei-lab / treeffuser
  Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …
  ☆51Updated 3 months ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆174Updated last year
• autogluon / fev
  Forecast evaluation library
  ☆134Updated last week
• david-rundel / tabpfn_iml
  Interpretable ML for TabPFN
  ☆44Updated 5 months ago
• team-daniel / MC-CP
  All the material needed to use MC-CP and the Adaptive MC Dropout method
  ☆26Updated 7 months ago
• yuenshingyan / MissForest
  Arguably the best missing values imputation method.
  ☆75Updated 11 months ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆194Updated 2 years ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆104Updated last month
• Gattocrucco / bartz
  Super-fast BART (Bayesian Additive Regression Trees) in Python
  ☆77Updated this week