Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
β379Apr 8, 2026Updated last week
Alternatives and similar repositories for tabpfn-time-series
Users that are interested in tabpfn-time-series are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! π€β277Apr 10, 2026Updated last week
- β‘ TabPFN: Foundation Model for Tabular Data β‘β6,041Apr 10, 2026Updated last week
- β205Apr 10, 2026Updated last week
- β‘ Easy API access to the tabular foundation model TabPFN β‘β232Updated this week
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.β23Mar 31, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient β’ AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Fine-grained attention in hierarchical transformers for tabular time-series.β12Dec 24, 2024Updated last year
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24β740Feb 10, 2026Updated 2 months ago
- Unified Training of Universal Time Series Forecasting Transformersβ1,464Jan 29, 2026Updated 2 months ago
- Foundation Models for Time Seriesβ834Apr 8, 2026Updated last week
- This work introduces LaT-PFN, a novel time series model that combines PFN and JEPA frameworks to generate zero-shot forecasts efficientlβ¦β20Aug 1, 2024Updated last year
- Wrapper around MLForecast for more plug and play forecastingβ10Oct 23, 2023Updated 2 years ago
- β85Mar 6, 2024Updated 2 years ago
- Tabular In-Context Learningβ113Mar 6, 2025Updated last year
- TabICLv2: A state-of-the-art tabular foundation modelβ759Mar 25, 2026Updated 3 weeks ago
- 1-Click AI Models by DigitalOcean Gradient β’ AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Papers for LLM and foundation models for time series analyticsβ47Oct 15, 2024Updated last year
- Time Series Orchestra (TSorchestra) is a novel ensemble framework designed for zero-shot time series forecasting. It is built upon a curaβ¦β37Dec 17, 2025Updated 4 months ago
- A Living Benchmark for Machine Learning on Tabular Dataβ211Updated this week
- Interpretable ML for TabPFNβ51Jul 13, 2025Updated 9 months ago
- Chronos: Pretrained Models for Time Series Forecastingβ5,140Mar 18, 2026Updated 3 weeks ago
- Code for finetuning TabPFN on one downstream tabular dataset.β82Sep 8, 2025Updated 7 months ago
- Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automatβ¦β186Dec 20, 2024Updated last year
- Official PyTorch implementation of OTiS: An open model for general time series analysis.β18Apr 1, 2026Updated 2 weeks ago
- Drift-Resilient TabPFN is a method using In-Context Learning via a Prior-Data Fitted Network, to address temporal distribution shifts in β¦β28May 17, 2025Updated 11 months ago
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Implementation of "TS-JEPA"β26Nov 17, 2024Updated last year
- ProbTS is a benchmarking toolkit for time series forecasting.β201Apr 8, 2026Updated last week
- Our maintained PFN repository. Come here to train SOTA PFNs.β137Jan 21, 2026Updated 2 months ago
- [ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"β949Mar 21, 2026Updated 3 weeks ago
- Scalable and user friendly neural forecasting algorithms.β4,045Apr 10, 2026Updated last week
- Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representationsβ31Oct 26, 2024Updated last year
- β25Jan 27, 2026Updated 2 months ago
- ML models + benchmark for tabular data classification and regressionβ365Jan 6, 2026Updated 3 months ago
- Forecast evaluation libraryβ156Apr 8, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient β’ AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subβ¦β963Mar 22, 2026Updated 3 weeks ago
- Time-Series-Optimized Transformer for Observabilityβ350Apr 6, 2026Updated last week
- [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"β¦β160Mar 1, 2026Updated last month
- An extension of Py-Boost to probabilistic modellingβ24Jan 19, 2023Updated 3 years ago
- TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and deteβ¦β439Apr 7, 2026Updated last week
- Implementations, Pre-training Code and Datasets of Large Time-Series Modelsβ535Mar 22, 2026Updated 3 weeks ago
- Probabilistic time series modeling in Pythonβ5,160Mar 17, 2026Updated last month