Lectures and tutorials

Lecture and tutorial recordings

https://www.youtube.com/@mlmtp23/videos

 

Lecture slides

Meta-Heuristic for Physics (Steve Abel): 

 

Calabi-Yau metrics from Neural Networks (Magdalena Larfors):

 

Intro to ML, RL and RL application to Knot Theory (Fabian Ruehle)

 

RL for Knot Theory (Andras Juhasz)

 

Tutorials

Tutorial 1 on Monday: Introduction to ML

https://colab.research.google.com/github/callum-ryan-brodie/oxford-ml-physmath-school/blob/main/oxford_ml_physmath_school_notebook_1.ipynb

Tutorial 2 on Monday: Genetic algorithms

Notebooks: https://www.tinyurl.com/ga-ox-taxi  https://tinyurl.com/ga-ox-knapsol   https://tinyurl.com/ga-ox-min

Problem sheet:

 

Tutorial 2 on Tuesday: Quantum Annealing

Notebooks (including solutions): https://www.dropbox.com/scl/fo/iydy4ngbsvfe5pmrxhdeb/h?dl=0&rlkey=ecsenwkl9mnnsdupr95mwms7n

 

Tutorial 1 on Thursday: Reinforcement Learning

https://colab.research.google.com/github/callum-ryan-brodie/oxford-ml-physmath-school/blob/main/oxford_ml_physmath_school_notebook_2.ipynb

Tutorial 2 on Thursday: 

https://github.com/edhirst/OxfordCYTutorial/tree/main 

 

Tutorial 1 on Friday: 

https://tinyurl.com/ml-ox-fano

Tutorial 2 on Friday: 

https://colab.research.google.com/drive/1Z-jzToRkrTHayB83J0UKogbbBGO5Zdho?usp=sharing