alexglyndavies / 4M24
☆29Updated 3 years ago
Alternatives and similar repositories for 4M24:
Users that are interested in 4M24 are comparing it to the libraries listed below
- Code for Gaussian Score Matching Variational Inference☆30Updated 3 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆38Updated 3 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 6 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆69Updated 4 years ago
- Matrix-free linear algebra in JAX.☆113Updated 3 weeks ago
- Simulation-based inference in JAX☆29Updated last week
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆44Updated 4 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Updated 3 years ago
- diffusionjax is a simple and accessible diffusion models package in JAX☆40Updated last week
- ☆134Updated last month
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆99Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆61Updated 4 months ago
- Website for the book "The Elements of Differentiable Programming".☆13Updated 4 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆56Updated 7 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆25Updated 9 months ago
- Simulation-based inference benchmark☆95Updated last week
- A framework for composing Neural Processes in Python☆79Updated last month
- Materials of the Nordic Probabilistic AI School 2024.☆59Updated 6 months ago
- A generic interface for linear algebra backends☆71Updated 7 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆107Updated last week
- Jupyter notebooks on inference, regression and classification for MPhil students☆45Updated 3 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆17Updated 3 years ago
- Normalizing Flows using JAX☆82Updated last year
- Efficient Differentiable n-d PDE solvers in JAX.☆23Updated 2 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆122Updated 5 months ago
- ☆15Updated 2 years ago
- Machine Learning and the Physical World module☆28Updated 2 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆13Updated 3 months ago