Alternatives and similar repositories for TabPFGen

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

• yandex-research / tabgraphs
  A benchmark of meaningful graph datasets with tabular node features
  ☆14Updated 2 weeks ago
• hhyqhh / KAN-EA
  ☆19Updated last year
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆20Updated 5 months ago
• vanderschaarlab / temporai
  TemporAI: ML-centric Toolkit for Medical Time Series
  ☆119Updated last year
• bigdyl-kaist / OCTGAN
  PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)
  ☆15Updated 2 years ago
• lrnzgiusti / can
  Official repository for Cell Attention Networks
  ☆14Updated last year
• david-rundel / tabpfn_iml
  Interpretable ML for TabPFN
  ☆38Updated last month
• pfnet-research / TabCSDI
  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"
  ☆54Updated last year
• ahmedmalaa / evaluating-generative-models
  ☆21Updated 2 years ago
• ggoh29 / Simplicial-neural-network-benchmark
  Simplicial neural network benchmarking software
  ☆17Updated 3 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆36Updated last year
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆82Updated last year
• vandijklab / CST
  Continuous Spatiotemporal Transformer
  ☆22Updated 2 years ago
• rui-yan / TabMap
  TabMap for high-performance tabular data analysis - Nature BME
  ☆15Updated 7 months ago
• asarigun / GraphMixerNetworks
  Official Implementation of Graph Mixer Networks
  ☆20Updated last year
• DurstewitzLab / HierarchicalDSR
  Hierarchical multi-system training framework for dynamical systems reconstruction (from Brenner et al. 2025 ICLR)
  ☆14Updated 5 months ago
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated 2 years ago
• layer6ai-labs / WinIT
  Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"
  ☆26Updated 2 years ago
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆84Updated last year
• baoyujing / NET3
  ☆18Updated 4 years ago
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆75Updated 3 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago
• seedatnabeel / SSCP
  SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
  ☆17Updated 2 years ago
• knottwill / CoxKAN
  CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
  ☆29Updated 11 months ago
• LARS-research / TabGNN
  ☆51Updated 4 years ago
• BorealisAI / ssl-for-timeseries
  Self Supervised Learning for Time Series Using Similarity Distillation
  ☆12Updated 3 years ago
• StefanBloemheuvel / GCNTimeseriesRegression
  Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
  ☆36Updated last year
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 3 years ago
• lcosmo / DGM_pytorch
  ☆54Updated 3 years ago