alexglyndavies / 4M24View external linksLinks
☆35Nov 29, 2021Updated 4 years ago
Alternatives and similar repositories for 4M24
Users that are interested in 4M24 are comparing it to the libraries listed below
Sorting:
- Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)☆22Jul 20, 2024Updated last year
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Mar 6, 2023Updated 2 years ago
- Bayesian Linear Regression in Julia☆30Aug 29, 2025Updated 5 months ago
- Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...☆37Jul 14, 2024Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆74Nov 13, 2020Updated 5 years ago
- ☆13Feb 4, 2025Updated last year
- Provides likelihood functions for Gaussian Processes.☆44Jul 21, 2024Updated last year
- ☆16Nov 7, 2024Updated last year
- Bayesian Graph Neural Networks☆12Sep 10, 2021Updated 4 years ago
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Jun 8, 2018Updated 7 years ago
- Boosts JupyterLab - proving tools to help you organise, explore and analyse your experimental data.☆15Mar 16, 2025Updated 11 months ago
- Dynamical Systems with JAX☆12Jan 11, 2026Updated last month
- A framework for creating databases for surrogate models of complex physics codes.☆12Updated this week
- Dynamic uncertainty quantification for Tokamak reactor simulations modelling☆10Jun 25, 2025Updated 7 months ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Oct 24, 2017Updated 8 years ago
- Multi-Objective Causal Bayesian Optimisation, a new paradigm for finding Pareto-optimal interventions in multi-outcome causal models☆17Jun 2, 2025Updated 8 months ago
- A nascent Jax-based package for virtual brain modeling.☆12Feb 3, 2026Updated 2 weeks ago
- UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'☆11Jun 26, 2019Updated 6 years ago
- Tidy autoregressive inference in JAX☆15Sep 1, 2025Updated 5 months ago
- This is a collection of miscellaneous notes on unix, bash and some code samples for the latter. Most of the material is from @cinsk.☆11Jan 13, 2023Updated 3 years ago
- Unmaintained CFD models for Firedrake☆12Nov 8, 2015Updated 10 years ago
- Python framework for coupled HPC simulations☆15Updated this week
- Study into generating POC / Exploits for the metasploit framework using LLMs☆13Aug 27, 2023Updated 2 years ago
- Implementation of various generative models☆14Oct 1, 2018Updated 7 years ago
- Illustration of Markov Decision Processes (MDPs)☆11May 22, 2020Updated 5 years ago
- 💸 Access Financial Times API from R☆11Jun 25, 2019Updated 6 years ago
- Collection of resources from each meetup event☆13Nov 26, 2020Updated 5 years ago
- MCMC routines☆12Nov 22, 2022Updated 3 years ago
- MATLAB toolbox for training and validating PGNN-based feedforward controllers.☆14Apr 13, 2023Updated 2 years ago
- Virtual Bash interpreter with a virtual file system for multi-tenant environments.☆31Updated this week
- This is the code for the SF Python meetup group tutorial on reinforcement learning☆13Jun 1, 2017Updated 8 years ago
- Almost Surely Stable Deep Dynamics [NeurIPS 2020]☆13Dec 8, 2022Updated 3 years ago
- ☆12Mar 22, 2023Updated 2 years ago
- Control barrier functions (CBFs) in Julia.☆14Sep 19, 2024Updated last year
- Bayesian Deep Learning with Edward (and a trick using Dropout)☆15Jun 7, 2017Updated 8 years ago
- ☆13Aug 9, 2023Updated 2 years ago
- Re-Implementation of Gaussian Process Latent Variable Model algorithm & performance assessment against Kernel-PCA☆14Oct 9, 2024Updated last year
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 2 years ago
- ☆12Jun 5, 2015Updated 10 years ago