gerdm / bayes
Neat Bayesian machine learning examples
☆54Updated last month
Related projects ⓘ
Alternatives and complementary repositories for bayes
- Tutorials and sampling algorithm comparisons☆68Updated this week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆96Updated last year
- Bayesian inference with Python and Jax.☆31Updated last year
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated 7 months ago
- Bayesian Bandits☆66Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆121Updated 2 years ago
- Normalizing Flows using JAX☆82Updated 11 months ago
- Riemannian Optimization Using JAX☆45Updated last year
- Structural Time Series in JAX☆184Updated 6 months ago
- esig python package☆41Updated last month
- ☆46Updated 4 months ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Bayesian algorithm execution (BAX)☆48Updated 3 years ago
- A library for uncertainty quantification based on PyTorch☆119Updated 2 years ago
- Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes☆47Updated 2 years ago
- ☆49Updated last year
- State of the art inference for your bayesian models.☆176Updated last week
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- ☆30Updated 2 years ago
- Composable kernels for scikit-learn implemented in JAX.☆42Updated 4 years ago
- Bayesian optimization with conformal coverage guarantees☆27Updated 2 years ago
- Jax SSM Library☆49Updated last year
- A Simple Statistical Distribution Library in JAX☆16Updated 7 months ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆50Updated 6 months ago
- probabilistic programming focused on fun☆36Updated 3 weeks ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- ☆41Updated last month
- In which I learn about score functions and how they can be used to generate data.☆15Updated 7 months ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆115Updated 3 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆85Updated 6 months ago