AnasAbdelR's Stars
SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
SciML/ModelingToolkit.jl
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
EnzymeAD/Enzyme
High-performance automatic differentiation of LLVM and MLIR.
h-Klok/StatsWithJuliaBook
LuxDL/Lux.jl
Elegant & Performant Scientific Machine Learning in Julia
SciML/DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
omlins/julia-gpu-course
GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
mitmath/18337
18.337 - Parallel Computing and Scientific Machine Learning
SciML/ReservoirComputing.jl
Reservoir computing utilities for scientific machine learning (SciML)
LoopModels/LoopModels
"Full speed or nothing." - James Hetfield
JuliaComputing/pluto-vscode
Pluto inside a VS Code Webview, WIP
JuliaContainerization/SimpleContainerGenerator.jl
Create container images for using Julia packages (especially useful in environments without Internet access)
alexalemi/vib_demo
DENG-MIT/CRNN
Chemical Reaction Neural Network
samholt/NeuralLaplace
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
Chemellia/ChemistryFeaturization.jl
Interface package for featurizing atomic structures
YingboMa/SIMDPolynomials.jl
ghaetinger/Portinari.jl
Interactive D3 plots within Pluto!
SciML/QuantumNLDiffEq.jl
KristofferC/HyperHessians.jl
shb84/JENN
Jacobian-Enhanced Neural Networks (JENN) are fully connected multi-layer perceptrons, whose training process was modified to account for gradient information. Specifically, the parameters are learned by minimizing the Least Squares Estimator (LSE), modified to minimize prediction error of both response values and partial derivatives.
AnasAbdelR/Stiff-net.jl
In progress implementation of using stiff solvers as a means for NNs to update it's weights and learn stiff dynamics
Ericcsr/Diff-diffdrive
An experimental differentiable diffdrive robot simulator implemented by Pytorch
mtiller-jh/jlrun
Probably a stupid idea