PriorLabs / TabPFN
⚡ TabPFN: Foundation Model for Tabular Data ⚡
☆3,559Updated this week
Alternatives and similar repositories for TabPFN:
Users that are interested in TabPFN are comparing it to the libraries listed below
- A standard framework for modelling Deep Learning Models for tabular data☆1,498Updated this week
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,762Updated 6 months ago
- Shapley Interactions and Shapley Values for Machine Learning☆518Updated this week
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆112Updated this week
- A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-sou…☆726Updated last week
- Conditional GAN for generating synthetic tabular data.☆1,381Updated 2 weeks ago
- Machine learning with dataframes☆1,385Updated this week
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆917Updated 2 months ago
- Research on Tabular Deep Learning: Papers & Packages☆981Updated 5 months ago
- ☆478Updated 8 months ago
- A Library for Uncertainty Quantification.☆914Updated 2 weeks ago
- ⚡ Easy API access to the tabular foundation model TabPFN ⚡☆161Updated this week
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfo…☆654Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,378Updated this week
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆262Updated last month
- A novel approach for synthesizing tabular data using pretrained large language models☆311Updated 6 months ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,120Updated 2 weeks ago
- Python package for conformal prediction☆499Updated last month
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,965Updated 2 months ago
- moDel Agnostic Language for Exploration and eXplanation☆1,420Updated 2 months ago
- Time series forecasting with PyTorch☆4,286Updated last week
- Kolmogorov Arnold Networks☆15,641Updated 3 months ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,605Updated 2 months ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆357Updated 3 weeks ago
- Experiments on Tabular Data Models☆277Updated last year
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,311Updated 10 months ago
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆647Updated last year
- A Python package for modular causal inference analysis and model evaluations☆770Updated last month
- An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).☆4,336Updated 9 months ago
- Scalable and user friendly neural forecasting algorithms.☆3,487Updated this week