sdatkinson Goto Github PK
Name: Steven Atkinson
Type: User
Steven Atkinson's Projects
ar-pde-cnn
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
arxiv-converter
Take LaTeX projects and convert them to a version that is arXiv-ready
audiodsptools
A library of basic audio DSP tools
augmented-neural-odes
Pytorch implementation of Augmented Neural ODEs :sunflower:
bayesian_benchmarks
A community repository for benchmarking Bayesian methods
bebo
Bayesian embeddings for Bayesian optimization
bhpm-ultrasound
Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models
cppn-gan-vae-tensorflow
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
deephpms
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
deeponet
Learning nonlinear operators via DeepONet
doubly-stochastic-dgp
Deep Gaussian Processes with Doubly Stochastic Variational Inference
gpflow
Gaussian processes in TensorFlow
gpmat
Matlab implementations of Gaussian processes and other machine learning tools.
gptorch
Gaussian processes with PyTorch
iplug2
C++ Audio Plug-in Framework for desktop, mobile and web [PRE-RELEASE]
iplug2-fork
Fork of iPlug2
madgrad
JAX implementation of MADGRAD
nam-model-utility
A utility for upgrading old directory-style models to the new single-file style.
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
sgplvm-inverse
Experiments using the structured Bayesian Gaussian process latent variable model for inverse problems
swag-jax
JAX implementation of Stochastic weight averaging-Gaussian by Maddox et al.
tj
Implementation of the Torquato-Jiao Sequential Linear Programming Algorithm
vargplvm
Bayesian GPLVM in MATLAB and R
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