PriorLabs / tabpfn-time-seriesView external linksLinks
Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
β350Jan 24, 2026Updated 3 weeks ago
Alternatives and similar repositories for tabpfn-time-series
Users that are interested in tabpfn-time-series are comparing it to the libraries listed below
Sorting:
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! π€β254Updated this week
- β186Updated this week
- β‘ TabPFN: Foundation Model for Tabular Data β‘β5,672Updated this week
- β‘ Easy API access to the tabular foundation model TabPFN β‘β223Feb 3, 2026Updated last week
- Fine-grained attention in hierarchical transformers for tabular time-series.β12Dec 24, 2024Updated last year
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.β23Mar 31, 2025Updated 10 months ago
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24β702May 19, 2025Updated 8 months ago
- This work introduces LaT-PFN, a novel time series model that combines PFN and JEPA frameworks to generate zero-shot forecasts efficientlβ¦β17Aug 1, 2024Updated last year
- Foundation Models for Time Seriesβ780Updated this week
- β30Jan 28, 2025Updated last year
- Tabular In-Context Learningβ107Mar 6, 2025Updated 11 months ago
- β84Mar 6, 2024Updated last year
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Dataβ315Nov 28, 2025Updated 2 months ago
- Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".β271Aug 13, 2025Updated 6 months ago
- Official PyTorch implementation of OTiS: An open model for general time series analysis.β17Nov 5, 2025Updated 3 months ago
- Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representationsβ30Oct 26, 2024Updated last year
- β11Apr 14, 2022Updated 3 years ago
- Papers for LLM and foundation models for time series analyticsβ47Oct 15, 2024Updated last year
- Wrapper around MLForecast for more plug and play forecastingβ10Oct 23, 2023Updated 2 years ago
- ProbTS is a benchmarking toolkit for time series forecasting.β199Jan 22, 2026Updated 3 weeks ago
- Scalable and user friendly neural forecasting algorithms.β3,968Updated this week
- Code for finetuning TabPFN on one downstream tabular dataset.β84Sep 8, 2025Updated 5 months ago
- ML models + benchmark for tabular data classification and regressionβ331Jan 6, 2026Updated last month
- [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"β902Dec 12, 2025Updated 2 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neuβ¦β132Jul 15, 2025Updated 6 months ago
- β46Jul 25, 2024Updated last year
- Chat with Time-Series Data in PostgreSQL using LlamaIndex and Timescale Vectorβ12Mar 24, 2024Updated last year
- Implementation of "TS-JEPA"β20Nov 17, 2024Updated last year
- Forecast evaluation libraryβ144Feb 6, 2026Updated last week
- Our maintained PFN repository. Come here to train SOTA PFNs.β133Jan 21, 2026Updated 3 weeks ago
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"β¦β160Feb 17, 2025Updated 11 months ago
- Drift-Resilient TabPFN is a method using In-Context Learning via a Prior-Data Fitted Network, to address temporal distribution shifts in β¦β26May 17, 2025Updated 8 months ago
- The code for TFPSβ63Nov 8, 2024Updated last year
- Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automatβ¦β180Dec 20, 2024Updated last year
- β819Aug 26, 2024Updated last year
- Code for SpaceTime πβ±οΈ. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.β179Mar 17, 2023Updated 2 years ago
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)β20Feb 4, 2026Updated last week
- Contains the implementation of the EDAIN and EDAIN-KL methods proposed in our paper. The research was also part of the thesis I wrote as β¦β16Feb 19, 2024Updated last year
- Implementation of the sap-rpt-1-oss deep learning model with inference pipeline as described in the paper "ConTextTab: A Semantics-Aware β¦β141Nov 27, 2025Updated 2 months ago