alpha-davidson / TensorBNNLinks
Full Bayesian inference for neural networks using TensorFlow
☆15Updated 4 years ago
Alternatives and similar repositories for TensorBNN
Users that are interested in TensorBNN are comparing it to the libraries listed below
Sorting:
- ☆28Updated 2 years ago
- Conditional density estimation with neural networks☆33Updated 8 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 11 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆74Updated 5 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆237Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Bayesian inference and posterior analysis for Python☆46Updated last year
- Manifold Markov chain Monte Carlo methods in Python☆233Updated last month
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆57Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 8 months ago
- Gaussian Process Regression Interactive Javascript Demo☆56Updated 7 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 2 weeks ago
- Fully nonstationary, heteroscedastic GP for Matlab☆15Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Tutorials and sampling algorithm comparisons☆77Updated this week
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- Self-tuning HMC algorithms and evaluations☆19Updated last year
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- Lectures on Bayesian statistics and information theory☆31Updated 4 months ago
- Simulation-based inference benchmark☆103Updated 8 months ago
- A list of Python-based MCMC & ABC packages☆123Updated 4 months ago
- ☆12Updated 3 years ago
- Probabilistic Programming and Nested sampling in JAX☆208Updated last month
- ABCpy package☆116Updated last year
- The tiniest of Gaussian Process libraries☆318Updated this week
- Minimal Implementation of Bayesian Optimization in JAX☆97Updated 5 months ago