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:
- 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 9 months ago
- Conditional density estimation with neural networks☆33Updated 9 months ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆239Updated last year
- ☆28Updated 2 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- A list of Python-based MCMC & ABC packages☆123Updated 4 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Manifold Markov chain Monte Carlo methods in Python☆233Updated last month
- Bayesian inference and posterior analysis for Python☆46Updated last year
- Fully nonstationary, heteroscedastic GP for Matlab☆15Updated last year
- ☆154Updated 3 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- Finding the conditional distributions of a Gaussian Mixture Model☆12Updated 5 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Random Forests for Conditional Density Estimation☆43Updated 4 years ago
- Multi-Output Gaussian Process Toolkit☆176Updated 4 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- Literature and light wrappers for gaussian process models.☆48Updated 4 years ago
- ABCpy package☆116Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Gaussian Mixture Models in Jax☆23Updated 3 months ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆38Updated 2 years ago
- Simulation-based inference benchmark☆103Updated 9 months ago
- Lectures on Bayesian statistics and information theory☆31Updated 4 months ago