TimeCopilot / timecopilotLinks
TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.
☆362Updated last week
Alternatives and similar repositories for timecopilot
Users that are interested in timecopilot are comparing it to the libraries listed below
Sorting:
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆345Updated last week
- Datasets for time series forecasting☆118Updated last week
- This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time…☆239Updated 3 years ago
- TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning☆241Updated this week
- Forecast evaluation library☆142Updated last week
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆98Updated last week
- Transfer 🤗 Learning for Time Series Forecasting☆257Updated last year
- ☆184Updated last week
- Foundation Models for Time Series☆775Updated last week
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Updated last year
- ☆84Updated last year
- A Living Benchmark for Machine Learning on Tabular Data☆184Updated this week
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆116Updated 4 months ago
- MOMENT: A Family of Open Time-series Foundation Models, ICML'24☆702Updated 8 months ago
- ClaSPy: A Python package for time series segmentation.☆130Updated 6 months ago
- ProbTS is a benchmarking toolkit for time series forecasting.☆198Updated 2 weeks ago
- A Library for Conformal Hyperparameter Tuning☆104Updated 2 months ago
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆728Updated last week
- Repository of Transformer based PyTorch Time Series Models☆316Updated last year
- Fast implementations of common forecasting routines☆43Updated 2 weeks ago
- Forecasting with Gradient Boosted Time Series Decomposition☆198Updated 3 weeks ago
- Quantile Regression Forests compatible with scikit-learn.☆253Updated 2 weeks ago
- Research Code for MOMENT☆78Updated last year
- PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)☆366Updated 9 months ago
- An extension of LightGBM to probabilistic modelling☆358Updated last month
- The tutorials for PyPOTS, guide you to model partially-observed time series datasets.☆125Updated last month
- ML models + benchmark for tabular data classification and regression☆325Updated last month
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆277Updated 6 months ago
- Data, Benchmarks, and methods submitted to the M6 forecasting competition☆129Updated last year
- Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurI…☆214Updated 2 months ago