Stars
Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
⚡ TabPFN: Foundation Model for Tabular Data ⚡
ProbTS is a benchmarking toolkit for time series forecasting.
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Codebase for Aria - an Open Multimodal Native MoE
MOMENT: A Family of Open Time-series Foundation Models
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Development repository for the Triton language and compiler
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Forecasting: principles and practice in python