brandonckelly / CUDAHMLinks
Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.
☆16Updated 8 years ago
Alternatives and similar repositories for CUDAHM
Users that are interested in CUDAHM are comparing it to the libraries listed below
Sorting:
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last month
- Principal Component Analysis (PCA) for Missing and/or Noisy Data☆82Updated 8 years ago
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆53Updated 4 years ago
- Cython interface for the GNU Scientific Library (GSL).☆120Updated 3 years ago
- Python MCMC Sampler☆33Updated 8 months ago
- Diffusive Nested Sampling☆71Updated last week
- MCMC package for Bayesian data analysis☆59Updated 8 years ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22Updated 5 years ago
- Scalable 1D Gaussian Processes in C++, Python, and Julia☆189Updated 3 weeks ago
- python based implementation of the nested sampling algorithm☆27Updated 10 years ago
- Approximate Bayesian Computation Population Monte Carlo☆41Updated 5 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆39Updated 5 years ago
- DEPRECATED: use dfm/emcee version 3 instead☆21Updated 6 years ago
- Python library for optimizing noisy functions.☆88Updated last month
- python-based shapelet decomposition package☆26Updated 8 years ago
- General tools for Astronomical Time Series in Python☆88Updated last year
- A kernel-density-based, embarrassingly parallel ensemble sampler☆34Updated 3 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 6 years ago
- Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data☆80Updated 2 months ago
- Clustering with variational Bayes and population Monte Carlo☆51Updated 2 weeks ago
- A non-traditional TensorFlow tutorial☆48Updated 5 years ago
- MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.☆41Updated last year
- fast algorithm to do statistics on big data☆37Updated 3 months ago
- Parallel tempering MCMC sampler package written in Python☆58Updated 3 weeks ago
- Gaussian mixture model for incomplete (missing or truncated) and noisy data☆103Updated 3 years ago
- Gravitational-wave interferometer summary information system☆12Updated last month
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated 2 years ago
- Source for our paper on multiband periodograms.☆32Updated 6 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- A tutorial on Hierarchical Bayesian Modelling☆19Updated 5 years ago