sdatkinson

Pinned Repositories

arxiv-converter
Take LaTeX projects and convert them to a version that is arXiv-ready
Language:Python19 3 22
AudioDSPTools
A library of basic audio DSP tools
Language:C++37 6 910
BHPM-Ultrasound
Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models
Language:Python5 3 03
iPlug2
C++ Audio Plug-in Framework for desktop, mobile and web [PRE-RELEASE]
Language:C31 4 64
madgrad
JAX implementation of MADGRAD
Language:Python8 3 01
neural-amp-modeler
Neural network emulator for guitar amplifiers.
Language:Python2k 55 330169
NeuralAmpModelerCore
Core DSP library for NAM plugins
Language:C++340 10 6766
NeuralAmpModelerPlugin
Plugin for Neural Amp Modeler
Language:C++2.1k 64 383150
PIRATE
Physics-Informed Research Assistant for Theory Extraction
Language:Python8 4 11
TJ
Implementation of the Torquato-Jiao Sequential Linear Programming Algorithm
Language:C++9 4 21

sdatkinson's Repositories

sdatkinson/NeuralAmpModelerPlugin
Plugin for Neural Amp Modeler
Language:C++2.1k 64 383150
sdatkinson/neural-amp-modeler
Neural network emulator for guitar amplifiers.
Language:Python2k 55 330169
sdatkinson/NeuralAmpModelerCore
Core DSP library for NAM plugins
Language:C++340 10 6766
sdatkinson/AudioDSPTools
A library of basic audio DSP tools
Language:C++37 6 910
sdatkinson/iPlug2
C++ Audio Plug-in Framework for desktop, mobile and web [PRE-RELEASE]
Language:C31 4 64
sdatkinson/arxiv-converter
Take LaTeX projects and convert them to a version that is arXiv-ready
Language:Python19 3 22
sdatkinson/TJ
Implementation of the Torquato-Jiao Sequential Linear Programming Algorithm
Language:C++9 4 21
sdatkinson/madgrad
JAX implementation of MADGRAD
Language:Python8 3 01
sdatkinson/NAMTrainerColab
NAM Trainer to be used on Google Colab
Language:Jupyter Notebook8 1 73
sdatkinson/NamTrainerExtensions
Extensions for the Neural Amp Modeler Trainer
Language:Python8 1 1
sdatkinson/PIRATE
Physics-Informed Research Assistant for Theory Extraction
Language:Python8 4 11
sdatkinson/nam-model-utility
A utility for upgrading old directory-style models to the new single-file style.
Language:Jupyter Notebook6 4 02
sdatkinson/BHPM-Ultrasound
Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models
Language:Python5 3 03
sdatkinson/BEBO
Bayesian embeddings for Bayesian optimization
Language:Python3 4 02
sdatkinson/iPlug2-fork
Fork of iPlug2
Language:C2 4 1
sdatkinson/augmented-neural-odes
Pytorch implementation of Augmented Neural ODEs :sunflower:
Language:Jupyter Notebook1 2 00
sdatkinson/deeponet
Learning nonlinear operators via DeepONet
Language:Python1 2 0
sdatkinson/gptorch
Gaussian processes with PyTorch
Language:Python1 1 0
sdatkinson/SWAG-jax
JAX implementation of Stochastic weight averaging-Gaussian by Maddox et al.
1 3 1
sdatkinson/ar-pde-cnn
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
Language:Python0 2 00
sdatkinson/bayesian_benchmarks
A community repository for benchmarking Bayesian methods
Language:Jupyter Notebook2 0
sdatkinson/cppn-gan-vae-tensorflow
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
Language:Python3 0
sdatkinson/DeepHPMs
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Language:Python2 0
sdatkinson/Doubly-Stochastic-DGP
Deep Gaussian Processes with Doubly Stochastic Variational Inference
Language:Python3 0
sdatkinson/GPflow
Gaussian processes in TensorFlow
Language:Python3 0
sdatkinson/GPmat
Matlab implementations of Gaussian processes and other machine learning tools.
Language:Matlab3 0
sdatkinson/sgplvm-inverse
Experiments using the structured Bayesian Gaussian process latent variable model for inverse problems
Language:Python1 0
sdatkinson/vargplvm
Bayesian GPLVM in MATLAB and R
Language:Matlab3 0