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diffusionjax

diffusionjax is a simple and accessible diffusion models package in JAX

probit

probit is a simple and accessible Gaussian process package in JAX

probabilistic-peridynamics-project

My 50 page project report on concrete and probabilistic peridynamics.

tmpd

Implementation for the paper Tweedie Moment Projected Diffusions for Inverse Problems.

MCMC

A collection of resources to learn about Markov Chain Monte Carlo sampling methods. It follows on from my previous project on Bayesian Analysis of beam models.

bayesian-analyis-of-beam-models

We use mathematical models to predict the behaviour of physical systems, whether it be structural beams, bridges, cells or circuits. This project aims to use a Bayesian approach to assess quantitatively how well two different beam models, namely Euler-Bernolli beam theory and Finite Element Analysis (FEA), predict the deflection of a thin shelled structure. The thin shelled structure is a 'gyroid beam' that has been 3D printed.

generation-scheduling-challenge-january-2021

Our entry for rangl generation-scheduling-challenge-january-2021

humanoid

Repository for keeping code for the humanoid project

InverseProblems.jl

jax

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

PeriPy

Code base for PeriPy, a lightweight, open-source and high-performance package for peridynamic simulations written in Python - a collaboration between Exeter, Cambridge & Turing

score_sde-1

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

stochastic-analysis-of-gyroid-beams

Gyroid Beams: A Stochastic Analysis

tetris

water_transient_signal_analysis