PriorLabs / TabPFNLinks
⚡ TabPFN: Foundation Model for Tabular Data ⚡
☆5,613Updated last week
Alternatives and similar repositories for TabPFN
Users that are interested in TabPFN are comparing it to the libraries listed below
Sorting:
- A unified framework for Deep Learning Models on tabular data☆1,625Updated this week
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆946Updated 2 months ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,064Updated last month
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆249Updated last week
- Scalable and user friendly neural forecasting algorithms.☆3,959Updated this week
- ML models + benchmark for tabular data classification and regression☆325Updated last month
- Shapley Interactions and Shapley Values for Machine Learning☆681Updated 3 weeks ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,897Updated last year
- Research on Tabular Deep Learning: Papers & Packages☆1,104Updated last year
- Tabular Deep Learning Library for PyTorch☆764Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,511Updated this week
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆345Updated 2 weeks ago
- Scalable machine 🤖 learning for time series forecasting.☆1,157Updated this week
- ☆503Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,572Updated 2 months ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,683Updated this week
- Synthetic data generation for tabular data☆3,407Updated this week
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆636Updated 7 months ago
- A Library for Uncertainty Quantification.☆923Updated 9 months ago
- Unified Training of Universal Time Series Forecasting Transformers☆1,408Updated last week
- Fast and Accurate ML in 3 Lines of Code☆9,856Updated this week
- TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transf…☆3,650Updated this week
- ⚡ Easy API access to the tabular foundation model TabPFN ⚡☆223Updated this week
- DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dist…☆288Updated 3 weeks ago
- Chronos: Pretrained Models for Time Series Forecasting☆4,778Updated 3 weeks ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆5,985Updated 6 months ago
- PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure☆910Updated 3 months ago
- Foundation Models for Time Series☆775Updated last week
- Examples for https://github.com/optuna/optuna☆828Updated 2 weeks ago
- Conditional GAN for generating synthetic tabular data.☆1,519Updated last week