ansantam

2022-MT-ARD-ST3-ML-workshop

AI-HERO-2-Energy

ansantam.github.io

RL4AA23

Code for the of 1st collaboration workshop on Reinforcement Learning for Autonomous Accelerators (RL4AA'23)

time_dependant_kicks

Implementing a general non private solution for time dependant kicks in SixTrack

cheetah

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

bayesian-optimization

An introduction to Bayesian optimization with an example of accelerator tuning task.

neural-networks

Basic neural network tutorial notebooks

rl4aa24-tutorial

Hands-on tutorial about Meta RL and GP-MPC at the RL4AA'24 workshop.

ansantam/2022-MT-ARD-ST3-ML-workshop

ansantam/RL4AA23

Code for the of 1st collaboration workshop on Reinforcement Learning for Autonomous Accelerators (RL4AA'23)

ansantam/AI-HERO-2-Energy

ansantam/time_dependant_kicks

Implementing a general non private solution for time dependant kicks in SixTrack

ansantam/ansantam.github.io

ansantam/ansantam.github.io_test

personal website

ansantam/colormap

Colormap recommendation

ansantam/reinforcement-learning

ansantam/cheetah

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