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On Feynman--Kac training of partial Bayesian neural networks

Python 6 Updated Feb 23, 2024

LaTeX Template for Mike Morrison's #betterposter

TeX 298 46 Updated Sep 2, 2019

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

1,349 151 Updated Sep 13, 2024

Implements Inside-Out SMC^2, a nested sequential Monte Carlo algorithm developed for Bayesian experimental design in dynamical systems.

Julia 4 Updated Aug 19, 2024

The slow descent into madness

Julia 656 41 Updated Nov 21, 2024

Auxiliary Kalman and particle Gibbs samplers for Feynman-Kac (state-space) models.

Python 7 1 Updated Sep 26, 2024

A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algorithms, both in a sequential and parallel fashion, as well a…

Jupyter Notebook 12 3 Updated Nov 11, 2024
Python 15 Updated Mar 8, 2023

Julia implementation of various rigid body dynamics and kinematics algorithms

Julia 289 49 Updated Nov 8, 2024

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Jupyter Notebook 16,832 4,204 Updated Aug 7, 2024

A collection of user models and parameter estimation methods.

HTML 20 Updated May 3, 2023

Iterative Linearized Control Toolbox

Jupyter Notebook 35 9 Updated Aug 7, 2024

Example codes for the book Applied Stochastic Differential Equations

MATLAB 181 44 Updated Jul 14, 2021

A differentiable physics engine for robotics

Julia 321 29 Updated Sep 23, 2024

Conic Augmented Lagrangian Interior-Point SOlver

Julia 67 10 Updated Dec 14, 2022
Python 202 22 Updated Sep 3, 2023

Bayesian inference for a logistic regression model in various languages

Python 43 7 Updated Jul 12, 2023

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Python 2,130 143 Updated Nov 25, 2024

Tensors and neural networks in Haskell

Haskell 1,073 107 Updated Jul 9, 2024

JAX workshop for Simo Särkkä's group

Jupyter Notebook 6 2 Updated Nov 12, 2020

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Python 30,588 2,814 Updated Nov 25, 2024

Model-based design and verification for robotics.

C++ 3,353 1,266 Updated Nov 25, 2024

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

C++ 112 14 Updated Oct 28, 2024

Cleaner and Formatter for BibTeX files

TeX 870 66 Updated Nov 1, 2024

This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.

Jupyter Notebook 28 3 Updated Sep 15, 2023

Examples of how to create colorful, annotated equations in Latex using Tikz.

TeX 3,759 218 Updated Jul 12, 2022

user.js -- Firefox configuration hardening

JavaScript 2,761 232 Updated Apr 29, 2024

Zheng Zhao's doctoral dissertation from Aalto University

TeX 33 4 Updated Oct 10, 2022

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Jupyter Notebook 8,261 826 Updated Nov 25, 2024

Efficient Differentiable Simulation of Articulated Bodies (ICML2021)

C 94 5 Updated Dec 17, 2021
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