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