Alternatives and similar repositories for torchTS

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

• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆76Updated 11 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆81Updated 4 months ago
• tee-lab / PyDaddy
  Python package to discover stochastic differential equations from time series data
  ☆97Updated 8 months ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆35Updated 3 years ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆20Updated 2 years ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆42Updated 2 years ago
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆49Updated 3 years ago
• jambo6 / generalised-signature-method
  Code for: "A Generalised Signature Method for Time Series"
  ☆65Updated 2 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 5 years ago
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆121Updated last year
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆46Updated last week
• matrix-profile-foundation / mass-ts
  MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z…
  ☆104Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 5 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆116Updated 5 months ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆80Updated last year
• vincentblot28 / conformalized_gp
  ☆48Updated 8 months ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆99Updated 4 years ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆33Updated 2 years ago
• autonlab / esrnn
  Hybrid ES-RNN models for time series forecasting
  ☆19Updated 4 years ago
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆25Updated 3 weeks ago
• nla-group / ABBA-LSTM
  ☆15Updated 2 years ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆142Updated 8 months ago
• boniolp / Theseus
  [VLDB 2022] Dash application for "Navigating the Labyrinth of Time Series Anomaly Detection"
  ☆24Updated 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