Pinned Repositories
12p5yr_stochastic_analysis
3d_volume
ACM20030-Examples
Example Python code for the UCD ACM20030 course on Computational Science
adaptive
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
amrex
AMReX: Software Framework for Block Structured AMR
archer-python
ARCHER python course
AST1420
Materials related to AST1420 at the University of Toronto
astr_8070_s21
Spring 2021 course materials for ASTR 8070: Astrostatistics
IMRPhenomXASParameterSpaceFits
Parameter space fits for the IMRPhenomXAS phenomenological model.
lalsuite_gp
GeraintPratten's Repositories
GeraintPratten/AST1420
Materials related to AST1420 at the University of Toronto
GeraintPratten/d4est
A scalable hp-adaptive discontinuous Galerkin solver for coupled non-linear elliptic partial differential equations on curved multi-block meshes.
GeraintPratten/DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
GeraintPratten/DeepUQ
Bayesian Uncertainty Quantification by Deep Generative Model
GeraintPratten/distancetool
This is the source code for the following website.
GeraintPratten/dynesty
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
GeraintPratten/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
GeraintPratten/gwdet
Detectability of gravitational-wave signals from compact binary coalescences
GeraintPratten/HeatingRate
GeraintPratten/improved-gwcnn
Code for our paper: Improved deep learning techniques in gravitational-wave data analysis.
GeraintPratten/INITIAL
Package for obtaining the transformation matrix to a canonical basis from one UT integral.
GeraintPratten/jaxns
Nested sampling in JAX
GeraintPratten/knitr_case_studies
Inference case studies in knitr
GeraintPratten/LensTools
Useful computing tools for Weak Lensing analyses http://lenstools.readthedocs.io
GeraintPratten/ml-workshop-2-of-4
Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
GeraintPratten/MLFA
Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in the paper "The gap between theory and practice in function approximation with deep neural networks" available at https://arxiv.org/abs/2001.07523
GeraintPratten/mpags_blackholesgravitationalwaves
PhD class "Black Holes and Gravitational Waves"; University of Birmingham and MPAGS
GeraintPratten/MSDNN2ellipticPDEs
GeraintPratten/multiscale_HiTS
GeraintPratten/normalizing-flows
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
GeraintPratten/NumericalMethodsPhysicsWithPython
Codes, tutorials and other resources associated with the textbook "Numerical Methods in Physics with Python" by Alex Gezerlis
GeraintPratten/PHYS_440_540
Notebooks for PHYS 440/540 at Drexel University
GeraintPratten/plaidml
PlaidML is a framework for making deep learning work everywhere.
GeraintPratten/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
GeraintPratten/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
GeraintPratten/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
GeraintPratten/sciml-workshop-dirac
Practical notebooks for the SciML DiRAC workshop
GeraintPratten/testing-repo
GeraintPratten/tfdiffeq
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
GeraintPratten/zeus
⚡️ zeus: Lightning Fast MCMC ⚡️