distillpub / post--visual-exploration-gaussian-processes
A Visual Exploration of Gaussian Processes
☆102Updated 2 years ago
Alternatives and similar repositories for post--visual-exploration-gaussian-processes:
Users that are interested in post--visual-exploration-gaussian-processes are comparing it to the libraries listed below
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- Interactive visualization of Gaussian processes☆166Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆59Updated 4 years ago
- ABCpy package☆113Updated 10 months ago
- Course webpage for PGM, Spring 2019.☆76Updated 3 years ago
- A Python library for mathematical optimization☆139Updated 5 months ago
- Gaussian process modelling in Python☆222Updated 3 months ago
- Example codes for the book Applied Stochastic Differential Equations☆188Updated 3 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- A curated list of resources for learning Gaussian Processes☆38Updated 3 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆20Updated last week
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 5 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆183Updated 10 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Train deepGLM with Matlab, R and Python☆27Updated 2 years ago
- Computational statistics and machine learning reading group at Imperial College London (2019-2020)☆24Updated 3 weeks ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- ☆30Updated 2 years ago
- Just a little MCMC☆223Updated 8 months ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 5 months ago
- Talks from Neil Lawrence☆54Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 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.☆232Updated last year
- Statistical Rethinking with PyTorch and Pyro☆163Updated 5 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 5 months ago
- Manifold Markov chain Monte Carlo methods in Python☆226Updated 2 months ago