Alternatives and similar repositories for Auto_HMM

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

• kayuksel / generative-opt
  Democratizing Index Tracking for Small Investors in Europe: A Meta-Learning Method for Sparse Portfolio Optimization
  ☆81Updated last year
• maxmekiska / imbrium
  Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.
  ☆60Updated last year
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆45Updated 3 weeks 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
• SaremS / sample_notebooks
  Loose collection of Jupyter notebooks, mostly for my blog
  ☆28Updated 6 months ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 9 months ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆141Updated 4 months ago
• arnedb / tsfuse
  Python package for automatically constructing features from multiple time series
  ☆40Updated 9 months ago
• lixixibj / DeepVARwT-data-code
  ☆20Updated 8 months ago
• manitadayon / tsBNgen
  ☆60Updated last year
• xRiskLab / xBooster
  Explainable Boosted Scoring with Python: turning XGBoost and CatBoost classifiers into explainable scorecards
  ☆15Updated last month
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• DidierRLopes / timeseries-cv
  Time-Series Cross-Validation Module
  ☆44Updated 3 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated last year
• harrisp / GPyConform
  ☆49Updated 5 months ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆26Updated last week
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆77Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆79Updated 6 months ago
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 5 years ago
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆22Updated 2 years ago
• tee-lab / PyDaddy
  Python package to discover stochastic differential equations from time series data
  ☆95Updated 4 months ago
• ML4ITS / synthetic-data
  Generate synthetic time-series using generative adversarial networks. Functional end-to-end system for dataset generation, model registry…
  ☆16Updated 2 years ago
• dhopp1 / nowcast_lstm
  LSTM neural networks for nowcasting economic data.
  ☆65Updated last year
• dmey / synthia
  📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python
  ☆64Updated last year
• jmoralez / window_ops
  Fast window operations
  ☆44Updated last year
• microprediction / mkalgo
  Mueen-Keogh Algorithm for finding timeseries motifs
  ☆21Updated 4 years ago
• joergrieger / pybvar
  Bayesian Vector Autoregression in Python
  ☆27Updated 5 years ago
• gmgeorg / pylambertw
  pylambertw - sklearn interface to analyze and gaussianize heavy-tailed, skewed data
  ☆13Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆115Updated 2 years ago
• datasig-ac-uk / esig
  esig python package
  ☆48Updated 5 months ago