We've released the first version of our tabpfn #rstats package to CRAN. This is an interface to the Python #TabPFN package.
tidyverse.org/blog/2026/03...
The model is a pre-trained deep learning model that has performed exceedingly well on every data set I've tested it on.
tidyverse.org/blog/2026/03...
The model is a pre-trained deep learning model that has performed exceedingly well on every data set I've tested it on.
tabpfn 0.1.0
A new R package for tabular deep learning models.
tidyverse.org
March 31, 2026 at 12:30 PM
We've released the first version of our tabpfn #rstats package to CRAN. This is an interface to the Python #TabPFN package.
tidyverse.org/blog/2026/03...
The model is a pre-trained deep learning model that has performed exceedingly well on every data set I've tested it on.
tidyverse.org/blog/2026/03...
The model is a pre-trained deep learning model that has performed exceedingly well on every data set I've tested it on.
Announcing tabpfn 0.1.0 for #RStats! 📊
Bring foundation models to your tabular workflows. TabPFN uses "in-context learning" to deliver high-accuracy predictions without traditional training cycles.
Learn more: opensource.posit.co/blog/2026-03...
Bring foundation models to your tabular workflows. TabPFN uses "in-context learning" to deliver high-accuracy predictions without traditional training cycles.
Learn more: opensource.posit.co/blog/2026-03...
tabpfn 0.1.0
A new R package for tabular deep learning models.
opensource.posit.co
May 1, 2026 at 2:30 PM
Announcing tabpfn 0.1.0 for #RStats! 📊
Bring foundation models to your tabular workflows. TabPFN uses "in-context learning" to deliver high-accuracy predictions without traditional training cycles.
Learn more: opensource.posit.co/blog/2026-03...
Bring foundation models to your tabular workflows. TabPFN uses "in-context learning" to deliver high-accuracy predictions without traditional training cycles.
Learn more: opensource.posit.co/blog/2026-03...
Looking at TabPFN with Polaris datasets macinchem.org/2025/02/06/l... #cheminformatics
Looking at TabPFN – Macs in Chemistry
macinchem.org
February 6, 2025 at 5:40 PM
Looking at TabPFN with Polaris datasets macinchem.org/2025/02/06/l... #cheminformatics
relatedly: tabular foundation models are getting very good.
lalten.org/pages/fmXgbB...
lalten.org/pages/fmXgbB...
December 6, 2025 at 4:34 PM
relatedly: tabular foundation models are getting very good.
lalten.org/pages/fmXgbB...
lalten.org/pages/fmXgbB...
SaaS du jour : TabPFN pour data scientists et développeurs ML. Modèle de fondation pour prédictions sur données tabulaires sans tuning, jusqu'à 50k samples et 2000 features. 22 points sur Hacker News ce mois-ci.
#SaaS #buildinpublic #indiehackers
#SaaS #buildinpublic #indiehackers
TabPFN — SaaS du jour sur RemakeSaaS
Modèle de fondation pour prédictions sur données tabulaires sans tuning, jusqu'à 50k samples et 2000 features.
remakesaas.fr
September 28, 2026 at 10:30 AM
SaaS du jour : TabPFN pour data scientists et développeurs ML. Modèle de fondation pour prédictions sur données tabulaires sans tuning, jusqu'à 50k samples et 2000 features. 22 points sur Hacker News ce mois-ci.
#SaaS #buildinpublic #indiehackers
#SaaS #buildinpublic #indiehackers
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14
https://efraingaray.com/en/blog/tabpfn-vs-xgboost/
https://efraingaray.com/en/blog/tabpfn-vs-xgboost/
September 28, 2026 at 4:00 AM
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14
https://efraingaray.com/en/blog/tabpfn-vs-xgboost/
https://efraingaray.com/en/blog/tabpfn-vs-xgboost/
What if you could simply “prompt” a model with a few shots and get accurate xG predictions?
#TabPFN is making waves on academic benchmarks. We tested how it handles a real-world sports analytics problem.
w/ Timo Martens & @jessejdavis.bsky.social
dtai.cs.kuleuven.be/sports/blog/...
#TabPFN is making waves on academic benchmarks. We tested how it handles a real-world sports analytics problem.
w/ Timo Martens & @jessejdavis.bsky.social
dtai.cs.kuleuven.be/sports/blog/...
Tabular Foundation Models for xG: Can TabPFN Score Without Training?
For years, the answer to “what’s the best model for expected goals (xG)?” has been boringly consistent: a carefully tuned XGBoost model…
dtai.cs.kuleuven.be
May 22, 2026 at 3:13 PM
What if you could simply “prompt” a model with a few shots and get accurate xG predictions?
#TabPFN is making waves on academic benchmarks. We tested how it handles a real-world sports analytics problem.
w/ Timo Martens & @jessejdavis.bsky.social
dtai.cs.kuleuven.be/sports/blog/...
#TabPFN is making waves on academic benchmarks. We tested how it handles a real-world sports analytics problem.
w/ Timo Martens & @jessejdavis.bsky.social
dtai.cs.kuleuven.be/sports/blog/...
I have been genuinely amazed how well tabpfn works as a density estimator, and how helpful this is for SBI ... Great work by @vetterj.bsky.social, Manuel and @danielged.bsky.social!!
New preprint: SBI with foundation models!
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
July 23, 2025 at 2:37 PM
I have been genuinely amazed how well tabpfn works as a density estimator, and how helpful this is for SBI ... Great work by @vetterj.bsky.social, Manuel and @danielged.bsky.social!!
Conformalized TabPFN: Prediction Intervals for a Pretrained Transformer for Tabular Data in Python and R
https://thierrymoudiki.github.io/blog/2026/05/17/r/python/conformalized-tabpfn
#Python #DataScience #MachineLearning #rstats #Techtonique
https://thierrymoudiki.github.io/blog/2026/05/17/r/python/conformalized-tabpfn
#Python #DataScience #MachineLearning #rstats #Techtonique
September 21, 2026 at 5:59 PM
Conformalized TabPFN: Prediction Intervals for a Pretrained Transformer for Tabular Data in Python and R
https://thierrymoudiki.github.io/blog/2026/05/17/r/python/conformalized-tabpfn
#Python #DataScience #MachineLearning #rstats #Techtonique
https://thierrymoudiki.github.io/blog/2026/05/17/r/python/conformalized-tabpfn
#Python #DataScience #MachineLearning #rstats #Techtonique
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14 https://efraingaray.com/en/blog/tabpfn-vs-xgboost/ (https://news.ycombinator.com/item?id=49872864)
TabPFN vs XGBoost: benchmark measured on an RTX 4070 Ti
The claim behind TabPFN and TabICL is that they predict on a table without ever training on it and still beat tuned boosting.
efraingaray.com
September 28, 2026 at 7:53 AM
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14 https://efraingaray.com/en/blog/tabpfn-vs-xgboost/ (https://news.ycombinator.com/item?id=49872864)
April 11, 2025 at 5:27 PM
I'm excited about TabPFN for energy forecasting! It's a new ML model for tabular data which is (almost) a drop-in replacement for XGBoost. It's transformer-based, and pre-trained on millions of synthetic datasets.
Code: github.com/PriorLabs/Ta...
Paper: www.nature.com/articles/s41...
1/4
Code: github.com/PriorLabs/Ta...
Paper: www.nature.com/articles/s41...
1/4
GitHub - PriorLabs/TabPFN: ⚡ TabPFN: Foundation Model for Tabular Data ⚡
⚡ TabPFN: Foundation Model for Tabular Data ⚡. Contribute to PriorLabs/TabPFN development by creating an account on GitHub.
github.com
January 13, 2025 at 12:08 PM
I'm excited about TabPFN for energy forecasting! It's a new ML model for tabular data which is (almost) a drop-in replacement for XGBoost. It's transformer-based, and pre-trained on millions of synthetic datasets.
Code: github.com/PriorLabs/Ta...
Paper: www.nature.com/articles/s41...
1/4
Code: github.com/PriorLabs/Ta...
Paper: www.nature.com/articles/s41...
1/4
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14 | Discussion
TabPFN vs XGBoost: benchmark measured on an RTX 4070 Ti
The claim behind TabPFN and TabICL is that they predict on a table without ever training on it and still beat tuned boosting.
efraingaray.com
September 28, 2026 at 5:40 AM
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14 | Discussion
This might be the first time after 10 years that boosted trees are not the best default choice when working with data in tables.
Instead a pre-trained neural network is, the new TabPFN, as we just published in Nature 🎉
Instead a pre-trained neural network is, the new TabPFN, as we just published in Nature 🎉
January 8, 2025 at 6:00 PM
This might be the first time after 10 years that boosted trees are not the best default choice when working with data in tables.
Instead a pre-trained neural network is, the new TabPFN, as we just published in Nature 🎉
Instead a pre-trained neural network is, the new TabPFN, as we just published in Nature 🎉
TabPFN, published two days ago in Nature, looks like it may be the new state-of-the-art for machine learning models. It's not available in #RStats yet, but I wrote a short tutorial about how you can run it using the reticulate package: mansthulin.se/tabpfn/
Fitting TabPFN models in R using reticulate
mansthulin.se
January 10, 2025 at 1:49 PM
TabPFN, published two days ago in Nature, looks like it may be the new state-of-the-art for machine learning models. It's not available in #RStats yet, but I wrote a short tutorial about how you can run it using the reticulate package: mansthulin.se/tabpfn/
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14
Discussion | hackernews | Author: EfrainGaray
#MachineLearning
Discussion | hackernews | Author: EfrainGaray
#MachineLearning
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14
The claim behind TabPFN and TabICL is that they predict on a table without ever training on it and still beat tuned boosting.
efraingaray.com
September 28, 2026 at 3:58 AM
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14
Discussion | hackernews | Author: EfrainGaray
#MachineLearning
Discussion | hackernews | Author: EfrainGaray
#MachineLearning
Reading When Do Neural Nets Outperform Boosted Trees on
Tabular Data? (arxiv.org/pdf/2305.02997) and TabPFN (arxiv.org/pdf/2207.01848)
Tabular Data? (arxiv.org/pdf/2305.02997) and TabPFN (arxiv.org/pdf/2207.01848)
arxiv.org
December 7, 2024 at 6:01 PM
Reading When Do Neural Nets Outperform Boosted Trees on
Tabular Data? (arxiv.org/pdf/2305.02997) and TabPFN (arxiv.org/pdf/2207.01848)
Tabular Data? (arxiv.org/pdf/2305.02997) and TabPFN (arxiv.org/pdf/2207.01848)
Univariate and Multivariate Probabilistic Forecasting with nnetsauce and TabPFN
https://thierrymoudiki.github.io/blog/2025/01/14/python/forecasting-nnetsauce-tabpfn
#Python #DataScience #MachineLearning #rstats #Techtonique
https://thierrymoudiki.github.io/blog/2025/01/14/python/forecasting-nnetsauce-tabpfn
#Python #DataScience #MachineLearning #rstats #Techtonique
September 20, 2026 at 3:39 PM
Univariate and Multivariate Probabilistic Forecasting with nnetsauce and TabPFN
https://thierrymoudiki.github.io/blog/2025/01/14/python/forecasting-nnetsauce-tabpfn
#Python #DataScience #MachineLearning #rstats #Techtonique
https://thierrymoudiki.github.io/blog/2025/01/14/python/forecasting-nnetsauce-tabpfn
#Python #DataScience #MachineLearning #rstats #Techtonique
Improve the performance of gradient-boosted decision trees like XGBoost allowing them to read text column headers and to benefit from massive pretraining: replace the first tree with an LLM or TabPFN!
February 7, 2025 at 5:06 AM
Improve the performance of gradient-boosted decision trees like XGBoost allowing them to read text column headers and to benefit from massive pretraining: replace the first tree with an LLM or TabPFN!
I have the intuition that TabPFN approximates amortized Bayesian inference with a Solomonoff prior via in-context learning.
Perplexity agrees :)
www.perplexity.ai/search/is-it...
I wonder if this theoretical "universality" is one of the reasons for its empirical success.
Perplexity agrees :)
www.perplexity.ai/search/is-it...
I wonder if this theoretical "universality" is one of the reasons for its empirical success.
Is it valid to summarize TabPFN as doing amortized Bayesian inference with a...
Yes, it is valid to summarize TabPFN as performing amortized Bayesian inference with a Solomonoff prior via in-context learning. Here’s why:
1. [Amortized...
www.perplexity.ai
March 11, 2025 at 2:54 PM
I have the intuition that TabPFN approximates amortized Bayesian inference with a Solomonoff prior via in-context learning.
Perplexity agrees :)
www.perplexity.ai/search/is-it...
I wonder if this theoretical "universality" is one of the reasons for its empirical success.
Perplexity agrees :)
www.perplexity.ai/search/is-it...
I wonder if this theoretical "universality" is one of the reasons for its empirical success.
TabPFN-2.6 is out 🔥 new #1 on TabArena
March 26, 2026 at 4:13 PM
TabPFN-2.6 is out 🔥 new #1 on TabArena
TabPFN-3.5 Plus ya está disponible en SAP AI Core para realizar predicciones empresariales instantáneas
edomexaldia.com/tabpfn-3-5-p...
edomexaldia.com/tabpfn-3-5-p...
TabPFN-3.5 Plus ya está disponible en SAP AI Core para realizar predicciones empresariales instantáneas - Edomex Al Día
WALLDORF — 24 de septiembre de 2026 —SAP SE (NYSE: SAP) anunció la disponibilidad del nuevo modelo TabPFN-3.5 de Prior Labs, una empresa de SAP. Este modelo representa el siguiente gran avance en la I...
edomexaldia.com
September 25, 2026 at 1:59 AM
TabPFN-3.5 Plus ya está disponible en SAP AI Core para realizar predicciones empresariales instantáneas
edomexaldia.com/tabpfn-3-5-p...
edomexaldia.com/tabpfn-3-5-p...
Accurate predictions on small data with a tabular foundation model https://www.nature.com/articles/s41586-024-08328-6 🧬🖥️🧪 https://github.com/PriorLabs/TabPFN
January 16, 2025 at 10:15 AM
Accurate predictions on small data with a tabular foundation model https://www.nature.com/articles/s41586-024-08328-6 🧬🖥️🧪 https://github.com/PriorLabs/TabPFN