We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
S2FFT: Differentiable and accelerated spherical transforms
Python 199 13
Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
Jupyter Notebook 69 9
Proximal Nested Sampling for high-dimensional Bayesian model selection
Jupyter Notebook 25 4
Fast wavelet transforms on the sphere.
C 19 2
Sparse OPTimisation using state-of-the-art convex optimisation algorithms.
C++ 10 10
Next-generation radio interferometric imaging.
C++ 19 12
There was an error while loading. Please reload this page.
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
Slepian Scale-Discretised Wavelets in Python
Fast and exact Wigner transforms
Differentiable and GPU accelerated scattering covariance statistics on the sphere
Differentiable and accelerated wavelet transform on the sphere with JAX
Loading…