desy-ml

acss-core

acss-services

cheetah

Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.

cheetah-demos

Demos of Cheetah being used for various applications presented in "Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations"

llm-accelerator-tuning-release

Code for the paper "Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language"

mle-school-2022-use-case-desy-ii

Repository for the hands-on part of the Use Case DESY II session at MLE School 2022

rl-vs-bo

Code for the paper "Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning"

desy-ml/cheetah

Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.

desy-ml/rl-vs-bo

Code for the paper "Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning"

desy-ml/cheetah-demos

Demos of Cheetah being used for various applications presented in "Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations"

desy-ml/mle-school-2022-use-case-desy-ii

Repository for the hands-on part of the Use Case DESY II session at MLE School 2022

desy-ml/acss-core

desy-ml/acss-services

desy-ml/llm-accelerator-tuning-release

Code for the paper "Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language"