Alternatives and similar repositories for embedding_with_signatures

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

• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆48Updated 2 years ago
• datasig-ac-uk / signature_applications
  Example applications of path signatures
  ☆40Updated 3 months ago
• SigCGANs / Sig-Wasserstein-GANs
  ☆27Updated last year
• alan-turing-institute / rPSMF
  Code for Probabilistic Sequential Matrix Factorization
  ☆15Updated 4 years ago
• BouchardLab / pyuoi
  The Union of Intersections Framework in Python
  ☆14Updated this week
• QingyunSun / Distributional-Robust-Kelly-Gambling
  ☆18Updated 5 years ago
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆18Updated 10 months ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• cvxgrp / lrsm_portfolio
  Portfolio Construction using Stratified Models
  ☆11Updated 4 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• giotto-ai / noise-to-signal
  How to use topology to decode binary signals in high-noise regimes.
  ☆18Updated 4 years ago
• christinaheinze / nonlinearICP-and-CondIndTests
  Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…
  ☆17Updated 5 years ago
• johnnyp2587 / transfer-learning
  Implementation of transfer learning based with autoencoder architecture
  ☆17Updated 5 years ago
• Ralami1859 / BayesianOnlineChange-pointDetection-python-codes-
  Implementation of the Bayesian Online Change-point Detector of Ryan Prescott Adams and David McKay.
  ☆15Updated 3 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆79Updated last year
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• lightonai / newma
  Implementation of NEWMA: a new method for scalable model-free online change-point detection
  ☆47Updated 5 years ago
• cvxgrp / covpred
  Covariance prediction via convex optimization
  ☆21Updated 4 years ago
• IDSIA / gpforecasting
  ☆17Updated 3 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• steveliao93 / GCN_LogsigRNN
  ☆11Updated 2 years ago
• pafoster / path_signatures_introduction
  A Brief Introduction to Path Signatures for Machine Learning Practitioners
  ☆50Updated 4 years ago
• cvxgrp / strat_models
  A distributed method for fitting Laplacian regularized stratified models.
  ☆25Updated 4 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 9 years ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆49Updated 2 years ago
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated 2 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• ronojoy / pybisp
  This aims to be a collection of tools for performing Bayesian parameter estimation and model selection on stochastic processes. The immed…
  ☆11Updated 3 years ago
• mfrdixon / GP-CVA
  ☆14Updated 5 years ago