nowfound

Life & fun · January 9, 2025

TabPFN v2 – A SOTA foundation model for small tabular data

I am excited to announce the release of TabPFN v2, a tabular foundation model that delivers state-of-the-art predictions on small datasets in just 2.8 seconds for classification and 4.8 seconds for regression compared to strong baselines tuned for 4 hours. Published in Nature, this model outperforms traditional methods on datasets with up to 10,000 samples and 500 features. The model is available under an open license: a derivative of the Apache 2 license with a single modification, adding an enhanced attribution requirement inspired by the Llama 3 license:…

TabPFN v2 – A SOTA foundation model for small tabular data launched on January 9, 2025 with 153 votes, #267 of 6,142 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.

Visit nature.com ↗Alternativestop 4% of January 2025

In plain words

TabPFN v2 is a tabular foundation model that makes predictions on small datasets in seconds rather than hours. It performs classification in 2.8 seconds and regression in 4.8 seconds, outperforming traditionally tuned methods on datasets up to 10,000 samples and 500 features. The model, trained on 130 million synthetic datasets for in-context learning, is available under an open Apache 2-derived license and accessible via API for data scientists and machine learning practitioners working with structured data.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

I am excited to announce the release of TabPFN v2, a tabular foundation model that delivers state-of-the-art predictions on small datasets in just 2.8 seconds for classification and 4.8 seconds for regression compared to strong baselines tuned for 4 hours. Published in Nature, this model outperforms traditional…

Does a similar job

all alternatives →
  • TabPFN-2.5 – SOTA foundation model for tabular dataNov 2025 · priorlabs.ai · ▲73

    I am excited to announce the release of TabPFN-2.5, our tabular foundation model that now scales to datasets of up to 50,000 samples and 2,000 features - a 5x increase from TabPFN v2, published in the Nature journal earlier this year. TabPFN-2.5 delivers state-of-the-art predictions in one forward pass without hyperparameter tuning across classification and regression tasks. What’s new in 2.5: TabPFN-2.5 maintains the core approach of v2 - a pretrained transformer trained on more than hundred million synthetic datasets to perform in-context learning and output a predictive distribution for…

  • TabPFN-3.5, a Tabular Foundation Model for messy real-world tablesSep 2026 · priorlabs.ai · ▲10
  • Python SDK – forecasting with foundation time-series and tabular modelsDec 2025 · github.com · ▲43

    We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client

  • Fully client-side GPT2 prediction visualizer2023 · perplexity.vercel.app · ▲153

    Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…

  • BV
    Benchmarking VLMs vs. Traditional OCR2025 · getomni.ai · ▲146

    Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year (https://github.com/getomni-ai/zerox). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://getomni.ai/ocr-benchmark Github: https://github.com/getomni-ai/benchmark Huggingface:…

  • AT
    A tool to benchmark LLM APIs (OpenAI, Claude, local/self-hosted)2025 · llmapitest.com · ▲55

    I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…

More life & fun this month

the category →

Source: Show HN post ↗ · launch text quoted in part

Launched alongside, January 2025

the whole month →
  • I made an open-source laptop from scratch▲3,237

    Hello! I'm Byran. I spent the past ~6 months engineering a laptop from scratch. It's fully open-source on GH at: https://github.com/Hello9999901/laptop

    Dev tools · 2025 · byran.ee

  • TI
    Tetris in a PDF▲1,289

    I realized that the PDF engines of modern desktop browsers (PDFium and PDF.js) support JavaScript with enough I/O primitives to make a basic game like Tetris. It was a bit tricky to find a union of features that work in both engines, but in the end it turns out that showing/hiding annotation "fields" works well to make monochrome pixels, and keyboard input can be achieved by typing in a text input box. All in all it's quite janky but a nice reminder of how general purpose PDF scripting can be. The linked PDF is all ASCII so you can just open it in a text editor, or have a look at…

    Life & fun · 2025 · th0mas.nl

  • 21st.dev▲1,211

    I originally built this app to organize and reuse interesting React + Tailwind components I came across on Twitter, inspired by the shadcn/ui approach. Later, a friend started contributing their own components, and it got me thinking—this could grow into something bigger, like an NPM for design engineers to share and use components. Would love to hear your thoughts!

    Dev tools · 2025 · 21st.dev

  • JoggAI 2.0: AI Avatar Generator▲967

    Create lifelike, personalized AI avatars from text prompts

    AI · 2025 · jogg.ai

  • Lovable + Builder.io▲873

    Turn Figma designs into full stack apps with AI

    Dev tools · 2025 · figma.com

  • Cs16.css – CSS library based on Counter Strike 1.6 UI▲819

    CSS library based on Counter Strike 1.6 UI.

    Life & fun · 2025 · cs16.samke.me