RobRomijnders / vi_normalLinks
Variational Inference for a Normal Distribution
☆13Updated 7 years ago
Alternatives and similar repositories for vi_normal
Users that are interested in vi_normal are comparing it to the libraries listed below
Sorting:
- Code for the Density Deconvolution with Normalizing Flows paper.☆12Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- A simple MCMC framework for training Gaussian processes adding functionality to GPy.☆21Updated 10 years ago
- A pytorch version of hamiltonian monte carlo☆14Updated 6 years ago
- An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval☆11Updated 6 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Unbiased and Consistent Nested Sampling via Sequential Monte Carlo☆14Updated last month
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Some notes about MCMC☆44Updated 7 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.☆16Updated 8 years ago
- Python MCMC Sampler☆33Updated 3 months ago
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 2 years ago
- Neural network nested and MCMC sampling☆22Updated 3 years ago
- MCMC package for Bayesian data analysis☆59Updated 8 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- Lectures on Bayesian statistics and information theory☆31Updated last month
- A tutorial on Hierarchical Bayesian Modelling☆19Updated 5 years ago
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Updated 5 years ago
- Repository of models in Pyro☆29Updated 11 months ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆109Updated last year
- ☆14Updated last year
- PyMC3-like Interface for Pyro☆37Updated 5 years ago