Alternatives and similar repositories for PROFHiT

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

• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆116Updated this week
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆183Updated last year
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆104Updated this week
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆71Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆114Updated 3 months ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• tblume1992 / MFLES
  ☆115Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆196Updated 2 years ago
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆251Updated 8 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆40Updated this week
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆82Updated last week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• ajayarunachalam / Deep_XF
  Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Mode…
  ☆118Updated 2 years ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 4 months ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆295Updated 3 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆69Updated this week
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆93Updated 2 months ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆118Updated 10 months ago
• autogluon / fev
  Forecast evaluation library
  ☆94Updated this week
• ourownstory / AR-Net
  A simple Auto-Regressive Neural Network for time-series
  ☆177Updated 3 years ago
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆38Updated last year
• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆138Updated 9 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 6 months ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆59Updated last year
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆48Updated this week