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:
- MCMC package for Bayesian data analysis☆59Updated 8 years ago
- Code for the Density Deconvolution with Normalizing Flows paper.☆12Updated 5 years ago
- Scalable 1D Gaussian Processes in C++, Python, and Julia☆186Updated this week
- Python MCMC Sampler☆33Updated 6 months ago
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Updated 5 years ago
- A pytorch version of hamiltonian monte carlo☆14Updated 6 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Deep neural networks for gravitational-wave posterior estimation☆14Updated 5 years ago
- Neural network nested and MCMC sampling☆22Updated 3 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆75Updated 2 years ago
- Approximate Bayesian Computation Population Monte Carlo☆41Updated 5 years ago
- Investigating the noise residuals around the gravitational wave event GW150914☆12Updated 6 years ago
- Some notes about MCMC☆44Updated 7 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Lectures on Bayesian statistics and information theory☆31Updated 3 months ago
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆27Updated 2 years ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated last year
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- Deep learning strong lens finder☆25Updated 7 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- Make a sweet giant triangle confusogram (GTC) plot☆34Updated last year
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22Updated 5 years ago
- Unbiased and Consistent Nested Sampling via Sequential Monte Carlo☆15Updated 4 months ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 5 years ago
- Gaussian mixture model for incomplete (missing or truncated) and noisy data☆102Updated 3 years ago
- ABCpy package☆115Updated last year
- Fast & scalable Gaussian Processes in one dimension☆76Updated 3 weeks ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- 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
- Conditional density estimation with neural networks☆33Updated 7 months ago