A collection of material for the Swedish di-Higgs VR grant application

Development of a GUI for the ATLAS phase-II TileCal testbench.

A simple CNN implementation for detecting intracranial hemorrhages.

An RNN using LSTM implemented for the Kaggle "Real or Not? NPL with Disaster Tweets"

A short repository with example implementations of a CNN, an RNN, and linear regression using the full power of TensorFlow.

A small repo summarising some of my early machine learning coding practise, including decision trees, ensemble classifiers, and SVMs

Ongoing MNIST classification project, along with categorical encoding.

An ML regression implementation for housing prices, making using sample stratification, decision trees, and random forests.

ML algorithms which study the properties of astrophysical halos to learn about the nature of dark matter. Several different regressors and pipelines have been implemented, trained, and validated.

Ongoing implementation of several advanced techniques in a regression challenge using house prices. This also includes extensive classes and functions for cleaning data and plotting.

Git repository for ongoing studies of the running of Higgs couplings in the context of LHC constraints, models of new physics, and inflatory scenarios in the early Universe.