CamDavidsonPilon / PyProcessLinks
Generate stochastic processes using Python. Unfortunately not maintained any longer =(
☆111Updated 10 years ago
Alternatives and similar repositories for PyProcess
Users that are interested in PyProcess are comparing it to the libraries listed below
Sorting:
- bayesian bootstrapping in python☆121Updated 3 years ago
- ☆98Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Transforms univariate data into normally distributed data☆77Updated 3 years ago
- PCA that iteratively replaces missing data☆223Updated last year
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Files for Python Talk☆24Updated 9 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 years ago
- ☆159Updated 3 years ago
- A Python package for performing Maximum Likelihood Estimates☆128Updated 5 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago
- An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"☆31Updated 11 years ago
- Fast Function Extraction☆85Updated 2 months ago
- Bayesian Inference and parameter estimation in quant finance.☆42Updated 6 years ago
- Python library for optimizing noisy functions.☆88Updated 3 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Density Based Clustering (DeBaCl) Toolbox☆101Updated 5 years ago
- loess smoother / stl seasonal trend decomposition, originally from scipy.sandbox.pyloess☆56Updated 8 years ago
- Information Theoretic Tools for Python☆95Updated 5 years ago
- Uncertainty quantification book chapter☆49Updated 10 years ago
- ☆75Updated last year
- python implementation of SAX (Symbolic Aggregate Approximation) for time series data☆45Updated 10 years ago
- Efficient pure Python implementation of Friedman's Supersmoother☆97Updated this week
- BlackScholes Model, with Montecarlo implmented in python with TensorFlow☆17Updated 9 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆75Updated 8 years ago