Alternatives and similar repositories for Volt

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

• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆83Updated 6 months ago
• patrick-kidger / Deep-Signature-Transforms
  Code for "Deep Signature Transforms" (NeurIPS 2019)
  ☆97Updated last year
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆121Updated 4 years ago
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆130Updated 2 years ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 7 months ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated last week
• jambo6 / generalised-signature-method
  Code for: "A Generalised Signature Method for Time Series"
  ☆65Updated 2 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• Victorletzelter / timeMCL
  Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
  ☆53Updated 3 months ago
• datasig-ac-uk / esig
  esig python package
  ☆50Updated 11 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 2 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆45Updated 7 years ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆66Updated 3 years ago
• cgarciae / quantile-regression
  ☆22Updated 4 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated last month
• probml / sts-jax
  Structural Time Series in JAX
  ☆210Updated last year
• bottler / iisignature
  Iterated integral signature calculations
  ☆114Updated last month
• maxmekiska / imbrium
  Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.
  ☆61Updated last year
• hamrel-cxu / MultiDimSPCI
  Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)
  ☆19Updated last year
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆96Updated 5 months ago
• huaweicloud / c2far_forecasting
  This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Prec…
  ☆13Updated 2 years ago
• SigCGANs / Sig-Wasserstein-GANs
  ☆29Updated 2 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆50Updated 2 years ago
• patrick-kidger / signatory
  Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)
  ☆291Updated last year
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆85Updated last week
• pafoster / path_signatures_introduction
  A Brief Introduction to Path Signatures for Machine Learning Practitioners
  ☆55Updated 4 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• vincentblot28 / conformalized_gp
  ☆48Updated 10 months ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago