Pinned Repositories
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
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.
diffusionjax
diffusionjax is a simple and accessible diffusion models package in JAX
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
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.
probabilistic-peridynamics-project
My 50 page project report on concrete and probabilistic peridynamics.
probit
probit is a simple and accessible Gaussian process package in JAX
bb515's Repositories
bb515/diffusionjax
diffusionjax is a simple and accessible diffusion models package in JAX
bb515/probit
probit is a simple and accessible Gaussian process package in JAX
bb515/probabilistic-peridynamics-project
My 50 page project report on concrete and probabilistic peridynamics.
bb515/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.
bb515/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.
bb515/generation-scheduling-challenge-january-2021
Our entry for rangl generation-scheduling-challenge-january-2021
bb515/humanoid
Repository for keeping code for the humanoid project
bb515/InverseProblems.jl
bb515/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
bb515/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
bb515/score_sde-1
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
bb515/stochastic-analysis-of-gyroid-beams
Gyroid Beams: A Stochastic Analysis
bb515/tetris
bb515/water_transient_signal_analysis