Alternatives and similar repositories for torch-es

Users that are interested in torch-es are comparing it to the libraries listed below

• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆318Updated 6 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆334Updated 2 months ago
• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆639Updated 2 years ago
• alan-turing-institute / TCPDBench
  The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
  ☆143Updated 2 months ago
• rajatsen91 / deepglo
  This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…
  ☆169Updated 5 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated 2 years ago
• lostella / ISF-2020-Deep-Learning-Workshop
  ☆17Updated 4 years ago
• rshyamsundar / gluonts-hierarchical-ICML-2021
  ☆41Updated 3 years ago
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 5 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆75Updated 3 years ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆287Updated 3 years ago
• TimeSynth / TimeSynth
  A Multipurpose Library for Synthetic Time Series Generation in Python
  ☆375Updated last year
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆432Updated last year
• Mcompetitions / M4-methods
  Data, Benchmarks, and methods submitted to the M4 forecasting competition
  ☆789Updated 5 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆281Updated this week
• alan-turing-institute / TCPD
  The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms
  ☆157Updated 2 months ago
• rakshitha123 / TSForecasting
  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
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆521Updated 4 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆317Updated 2 years ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆169Updated 2 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆242Updated 2 weeks ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆383Updated last year
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆241Updated 5 years ago
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆437Updated this week