Alternatives and similar repositories for HiddenMarkovModel

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

• PacktPublishing / Hands-On-Markov-Models-with-Python
  Hands on Markov Models with Python, published by Packt
  ☆111Updated 2 years ago
• lopatovsky / HMMs
  Continuous-time Hidden Markov Model
  ☆101Updated last year
• 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
• meocong / HiddenMarkovModelPredictingStock
  Predicting stock price by using Hidden Markov model
  ☆18Updated 8 years ago
• maximtrp / mchmm
  Markov Chains and Hidden Markov Models in Python
  ☆127Updated 7 months ago
• fp1acm8 / Analysis-of-Financial-Time-Series
  Semi-automatic analysis of a financial series using Python.
  ☆13Updated 3 years ago
• gwgundersen / bocd
  Python implementation of Bayesian online changepoint detection
  ☆98Updated last year
• convexfi / intradayModel
  Modeling of intraday volatility and volume in financial markets
  ☆15Updated 2 years ago
• naresh-dscience / Portfolio-Optimization-using-Genetic-Algorithm
  Portfolio optimization using Genetic algorithm.
  ☆57Updated 4 years ago
• karvenka / netsci-project
  Network Analysis for Financial Markets
  ☆76Updated 7 years ago
• mfrdixon / Deep_Fundamental_Factors
  Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677
  ☆63Updated 2 years ago
• ayushjain1594 / Stock-Forecasting
  Hidden Markov Model (HMM) based stock forecasting
  ☆102Updated 7 years ago
• lamres / hmm_market_behavior
  Unsupervised Learning to Market Behavior Forecasting Example
  ☆42Updated 5 years ago
• LRydin / jumpdiff
  JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python
  ☆46Updated 2 years ago
• flo7up / relataly-public-python-tutorials
  Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebo…
  ☆151Updated last year
• sydney-machine-learning / Bayesianneuralnet_stockmarket
  Bayesian neural network with Parallel Tempering MCMC for Stock Market Prediction
  ☆40Updated 3 years ago
• kvsnoufal / portfolio-optimization
  ☆102Updated 3 years ago
• PYFTS / notebooks
  Code examples for pyFTS
  ☆51Updated 5 years ago
• aafulei / book-stochastic-calculus-for-finance
  My answers to exercises in Stochastic Calculus for Finance by Steven E. Shreve.
  ☆33Updated 2 years ago
• caokyhieu / DELAFO-DeEp-Learning-Approach-for-portFolio-Optimization
  ☆25Updated 4 years ago
• FernandoDeMeer / Mitigating-Overfitting-Experiment
  Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"
  ☆37Updated 2 years ago
• KalmanNet / KalmanBOT_ICASSP23
  DATA-AIDED PAIRS TRADING VIA LEARNED KALMAN WITH BOLLINGER BANDS
  ☆35Updated 2 years ago
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆153Updated 6 years ago
• Shreyav29 / Bitcoin_Price_Prediction
  Multivariate Multi Step Time Series modelling : Predicting the re-rise of bitcoin prices using RNN and optimising the model using GRU and…
  ☆18Updated 4 years ago
• aravanshad / stock-movement-prediction
  Prediction of stock market using high-frequency data
  ☆8Updated 7 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 6 years ago
• financialnoob / misc
  ☆26Updated 10 months ago
• mdsunivie / HARNet
  TensorFlow implementation of the HARNet model for realized volatility forecasting.
  ☆28Updated last year
• sebjai / robust-risk-aware-rl
  Some implementations from the paper robust risk aware reinforcement learning
  ☆35Updated 3 years ago
• liorsidi / sp500-stock-similarity-time-series
  Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…
  ☆98Updated 3 years ago