gerdm / bayesLinks
Neat Bayesian machine learning examples
☆58Updated 5 months ago
Alternatives and similar repositories for bayes
Users that are interested in bayes are comparing it to the libraries listed below
Sorting:
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes☆49Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated 2 months ago
- ☆48Updated 5 months ago
- Jax SSM Library☆49Updated 2 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- ☆30Updated 2 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- Bayesian Bandits☆68Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- esig python package☆48Updated 6 months ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated last year
- Structural Time Series in JAX☆192Updated last year
- ☆17Updated 2 years ago
- Normalizing Flows using JAX☆83Updated last year
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆49Updated 2 months ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated last year
- ☆30Updated 9 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆55Updated last year
- Riemannian Optimization Using JAX☆49Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago