Pinned Repositories
bojaxns
Bayesian Optimisation powered by JAXNS
born_rime
Born series description of RIME
DSA2000-Cal
DSA-2000 Calibration and Forward Modelling
FairAsyncRLock
This is a well-tested standalone implementation of a fair reentrant lock for conncurrent programming with asyncio.
h5parm
Provides H5Parm data interface
heterogp
Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow
IonoTomo
Ionospheric tomography for radio astronomy using ray tracing, and radio observation simulation
jaxnlds
Inference on non-linear dynamical systems written in JAX
jaxns
Probabilistic Programming and Nested sampling in JAX
tomographic_kernel
Provides the tomographic kernel from J. G. Albert et al. 2020
Joshuaalbert's Repositories
Joshuaalbert/jaxns
Probabilistic Programming and Nested sampling in JAX
Joshuaalbert/heterogp
Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow
Joshuaalbert/jaxnlds
Inference on non-linear dynamical systems written in JAX
Joshuaalbert/FairAsyncRLock
This is a well-tested standalone implementation of a fair reentrant lock for conncurrent programming with asyncio.
Joshuaalbert/born_rime
Born series description of RIME
Joshuaalbert/DSA2000-Cal
DSA-2000 Calibration and Forward Modelling
Joshuaalbert/essm_jax
Extended State Space Model for JAX
Joshuaalbert/bayes_gain_screens
A reduced set of code from previous repositories that focuses purely on producing gain screens.
Joshuaalbert/bojaxns
Bayesian Optimisation powered by JAXNS
Joshuaalbert/h5parm
Provides H5Parm data interface
Joshuaalbert/tomographic_kernel
Provides the tomographic kernel from J. G. Albert et al. 2020
Joshuaalbert/astropy
Repository for the Astropy core package
Joshuaalbert/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
Joshuaalbert/bayes_jones
Bayesian phase screen inference
Joshuaalbert/cfmv
Comprehensive Forward Modelling of Visibilities
Joshuaalbert/gpnest
Gaussian processes with nested sampling in the JAX framework
Joshuaalbert/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Joshuaalbert/jaxns-cosmology
Joshuaalbert/jaxns_apps
Applications of JAXNS to various problems
Joshuaalbert/jaxns_paper
Code and data to go with the JAXNS paper.
Joshuaalbert/jaxopt
Hardware accelerated, batchable and differentiable optimizers in JAX.
Joshuaalbert/neural_deprojection
Using neural networks to deprojection astronomical observables
Joshuaalbert/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Joshuaalbert/PredictTimeseries
Predict some numbers based on other numbers
Joshuaalbert/ProjectDashboard
Dashboard for tracking
Joshuaalbert/rayintegral_kernels
This project is an implementation of ray integral kernels.
Joshuaalbert/StickRay
Sticky connections for Ray
Joshuaalbert/utterances
Joshuaalbert/winter_green_house
This uses modelling to find a greenhouse design that could house an exotic tree throughout the winter in Canada.
Joshuaalbert/YourBayesOptimiser
Your Bayesian Optimiser App