Alternatives and similar repositories for TabForestPFN:

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

• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆26Updated last week
• microsoft / ticl
  Tabular In-Context Learning
  ☆52Updated 2 weeks ago
• layer6ai-labs / calo-forest
  A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.
  ☆17Updated 4 months ago
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆16Updated 3 months ago
• yandex-research / tabred
  TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆65Updated 4 months ago
• TorchDR / TorchDR
  TorchDR - PyTorch Dimensionality Reduction
  ☆96Updated last month
• ersilia-os / chempfn
  Ensemble-based, size-agnostic wrapper for the TabPFN classifier
  ☆30Updated 10 months ago
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆30Updated 2 years ago
• naszilla / tabzilla
  ☆146Updated last year
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆33Updated last month
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆102Updated 2 years ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆44Updated last year
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆77Updated 2 years ago
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆43Updated 3 months ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆148Updated 7 months ago
• hsouri / BayesianTransferLearning
  ☆108Updated 2 years ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago
• EtashGuha / R2CCP
  ☆21Updated 11 months ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆26Updated 9 months ago
• autogluon / tabrepo
  Compare and ensemble models without retraining
  ☆49Updated this week
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆28Updated last year
• ravidziv / SimplifyingImbalancedTraining
  ☆8Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• team-daniel / MC-CP
  All the material needed to use MC-CP and the Adaptive MC Dropout method
  ☆21Updated 6 months ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆35Updated last year
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆44Updated 2 years ago
• expz / annotated-hyena
  An annotated implementation of the Hyena Hierarchy paper
  ☆32Updated last year
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated 11 months ago
• hunar4321 / RLS-neural-net
  Recursive Leasting Squares (RLS) with Neural Network for fast learning
  ☆53Updated last year