Alternatives and similar repositories for MonteCarloTutorial

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

• leowyy / mcmc-importance-sampling
  Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression
  ☆11Updated 7 years ago
• Joseph94m / MCMC
  Implementation of Markov Chain Monte Carlo in Python from scratch
  ☆224Updated 5 years ago
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆155Updated 7 years ago
• junwang23 / deepdirtycodes
  Experimental and exercising codes
  ☆22Updated 7 years ago
• maziarraissi / ParametricGP-in-Matlab
  Parametric Gaussian Process Regression for Big Data (Matlab Version)
  ☆24Updated 7 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆75Updated 3 years ago
• snagcliffs / RKNN
  ☆21Updated 7 years ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆137Updated 4 years ago
• Bayes-Works / OpenBDLM
  Bayesian Dynamic Linear Models for time-series analysis
  ☆27Updated 3 years ago
• edouardberthe / adp-portfolio-selection
  Approximate Dynamic Programming for Portfolio Selection Problem
  ☆56Updated 3 years ago
• Apress / deep-neuro-fuzzy-systems-w-python
  Source Code for 'Deep Neuro-Fuzzy Systems with Python' by Himanshu Singh and Yunis Ahmad Lone
  ☆72Updated 6 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆161Updated 5 years ago
• MOSEK / Tutorials
  A collection of tutorials for the MOSEK package
  ☆124Updated last month
• horchler / SDETools
  Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations
  ☆104Updated 5 years ago
• sydney-machine-learning / deeplearning_timeseries
  Evaluation of shallow and deep learning models for multi-step-ahead time series prediction
  ☆64Updated 4 years ago
• sdepy / sdepy
  SdePy: Numerical Integration of Ito Stochastic Differential Equations
  ☆44Updated 4 years ago
• iagolemos1 / thresholdmodeling
  ☆34Updated 4 years ago
• aborowska / Copulas
  Playing around with time-varying parameter copulas
  ☆12Updated 7 years ago
• PYFTS / notebooks
  Code examples for pyFTS
  ☆52Updated 6 years ago
• nathanrooy / differential-evolution-optimization
  A simple, bare bones, implementation of differential evolution optimization.
  ☆56Updated 5 years ago
• Priesemann-Group / covid_bayesian_mcmc
  Bayesian Markov Chain Monte Carlo Forecast for COVID-19
  ☆41Updated 5 years ago
• MalteKurz / VineCopulaMatlab
  A MATLAB toolbox for vine copulas based on C++
  ☆40Updated 9 years ago
• rohitash-chandra / mt-bnn-dts
  Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction
  ☆21Updated 7 years ago
• joaohfrodrigues / BLADE
  Time-series analysis using restricted Boltzmann machines and dynamic Bayesian networks
  ☆13Updated 2 years ago
• blent-ai / pycopula
  Python copulas library for dependency modeling
  ☆102Updated 5 years ago
• cran2367 / understanding-lstm-autoencoder
  Understanding an LSTM Autoencoder
  ☆38Updated 6 years ago
• stochasticresearch / copula-py
  Python Copula Module
  ☆43Updated 2 years ago
• jkirkby3 / pymle
  Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
  ☆56Updated 4 months ago
• Rachnog / Neural-Networks-for-Differential-Equations
  UNIVR PDE course project and just for fun
  ☆117Updated 8 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 3 years ago