Alternatives and similar repositories for datasetsforecast

Users that are interested in datasetsforecast are comparing it to the libraries listed below

• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆251Updated 8 months ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆82Updated this week
• rakshitha123 / TSForecasting
  This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time…
  ☆230Updated 2 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆421Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• Nike-Inc / timeseries-generator
  A library to generate synthetic time series data by easy-to-use factors and generator
  ☆153Updated last year
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆118Updated 10 months ago
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆112Updated 3 months ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆196Updated 2 years ago
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆120Updated last year
• ermshaua / claspy
  ClaSPy: A Python package for time series segmentation.
  ☆120Updated 3 weeks ago
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆96Updated 5 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆236Updated last week
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆81Updated last month
• salesforce / DeepTime
  PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
  ☆362Updated 3 months ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 2 years ago
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆48Updated last week
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆71Updated last year
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆40Updated this week
• cchallu / n-hits
  ☆183Updated 2 years ago
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆341Updated 2 weeks ago
• lsorber / neo-ls-svm
  Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation
  ☆33Updated last year
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆427Updated 11 months ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆183Updated last year
• rshyamsundar / gluonts-hierarchical-ICML-2021
  ☆41Updated 2 years ago
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆118Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆69Updated this week
• AIStream-Peelout / flow_tutorials
  Public tutorials of using Flow Forecast for forecasting and classifying time series data
  ☆48Updated last year
• autogluon / fev
  Forecast evaluation library
  ☆94Updated this week