AzulGarza / 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.
☆217Updated last week
Alternatives and similar repositories for timecopilot
Users that are interested in timecopilot are comparing it to the libraries listed below
Sorting:
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆87Updated last week
- Forecast evaluation library☆122Updated 2 weeks ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆114Updated 2 weeks ago
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆280Updated this week
- Datasets for time series forecasting☆111Updated this week
- Transfer 🤗 Learning for Time Series Forecasting☆253Updated 10 months ago
- This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time…☆234Updated 2 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆433Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆242Updated this week
- ☆115Updated last year
- TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning☆180Updated this week
- Fast implementations of common forecasting routines☆41Updated 2 weeks ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Updated 8 months ago
- Methods for online conformal prediction.☆116Updated 5 months ago
- Integrated tool for model development and validation☆31Updated 3 weeks ago
- Data, Benchmarks, and methods submitted to the M6 forecasting competition☆121Updated last year
- Forecasting with Gradient Boosted Time Series Decomposition☆197Updated 2 years ago
- A Library for Conformal Hyperparameter Tuning☆100Updated 2 weeks ago
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated 2 weeks ago
- A Living Benchmark for Machine Learning on Tabular Data☆128Updated this week
- tsbootstrap: generate bootstrapped time series samples in Python☆82Updated 3 months ago
- Conformal Anomaly Detection☆51Updated this week
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆702Updated this week
- An extension of LightGBM to probabilistic modelling☆335Updated 2 months ago
- A library to generate synthetic time series data by easy-to-use factors and generator☆154Updated last year
- WarpGBM: High-Speed Gradient Boosting☆91Updated last week
- Methods and tools for multistep-ahead time series conformal prediction.☆42Updated 2 weeks ago
- ☆83Updated last year
- A python package for time series forecasting with scikit-learn estimators.☆162Updated last year