RemiLehe/optimization_and_ml
USPAS course on optimization and machine learning
Computational physicist
USPAS course on optimization and machine learning
A conda-smithy repository for optimas.
Spectral, quasi-3D Particle-In-Cell code, for CPU and GPU
Lume-model defines data structures used in the LUME modeling tool set.
SYNergistic software platform for AI, Physics Simulations, and Experiments
Pixel-dependent transparency with matplotlib's imshow
Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.
Auxiliary data files for WarpX examples & tests
common astrophysical microphysics routines with interfaces for the different AMReX codes
Flexible high-level optimization in Python
ImpactX: the next generation of the IMPACT-Z code
The go-to optimizer in accelerator control room
Template for packaging models with LUME-services tools
Hands-on examples for Warp and FBPIC
Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.
GPU-Enabled, Zero-Copy AMReX Python Bindings including AI/ML
Tutorial on Keras for THW, Berkeley
Optimization at scale, powered by libEnsemble
Interpolation-Based Composite Derivative-Free Optimization
PICSAR is a high performance repository intended to help scientists porting their Particle-In-Cell (PIC) codes to the next generation of exascale computers.
A library to coordinate the concurrent evaluation of dynamic ensembles of calculations.
📙 A Community Database of Accelerator Simulation Codes
Highly efficient Plasma Accelerator Emulation, quasistatic particle-in-cell code
Test the amrex library in an interactive Jupyter notebook