Pinned Repositories
ACDC2017
MICCAI ACDC 2017 Challenge
covid-modelling
An R shiny app for an SIR compartmental model of COVID-19. Allows for quick experiments exploring the effect of different interventions and parameters.
cvd-vae
A package for running experiments with VAEs for ECG data, including a supervised head designed for survival analysis of cardiovascular disease events.
elements
A synthetic dataset of simple shapes with known ground truth concepts and how they relate to the image classes.
FourierOptics
Code to help with an experiment I am running. A 4-f system is being used to explore the fourier plane and the effect of spatial filtering. CCD images of the resulting laser patterns are taken and this code is used to analyse and simulate a similar process.
Hydrogen-Radial-Wavefunctions
Python code to calculate and display the radial wavefunction and associated probabilities of Hydrogen. This is a two particle system so can be solved exactly.
satml-trojans-textcavs
Entry to SaTML trojan competition 2024.
soft_nearest_neighbors
An unoffical pytorch implementation of the soft nearest neighbours loss function and optimisation as in Frosst, N., Papernot, N., & Hinton, G. (2019). Analyzing and improving representations with the soft nearest neighbor loss. 36th International Conference on Machine Learning, ICML 2019, 2019-June, 3531–3547. https://arxiv.org/abs/1902.01889.
tcav
Code for the TCAV ML interpretability project
textcavs
Official implementation of "TextCAVs: Debugging vision models using text"
AngusNicolson's Repositories
AngusNicolson/Hydrogen-Radial-Wavefunctions
Python code to calculate and display the radial wavefunction and associated probabilities of Hydrogen. This is a two particle system so can be solved exactly.
AngusNicolson/soft_nearest_neighbors
An unoffical pytorch implementation of the soft nearest neighbours loss function and optimisation as in Frosst, N., Papernot, N., & Hinton, G. (2019). Analyzing and improving representations with the soft nearest neighbor loss. 36th International Conference on Machine Learning, ICML 2019, 2019-June, 3531–3547. https://arxiv.org/abs/1902.01889.
AngusNicolson/cvd-vae
A package for running experiments with VAEs for ECG data, including a supervised head designed for survival analysis of cardiovascular disease events.
AngusNicolson/FourierOptics
Code to help with an experiment I am running. A 4-f system is being used to explore the fourier plane and the effect of spatial filtering. CCD images of the resulting laser patterns are taken and this code is used to analyse and simulate a similar process.
AngusNicolson/covid-modelling
An R shiny app for an SIR compartmental model of COVID-19. Allows for quick experiments exploring the effect of different interventions and parameters.
AngusNicolson/elements
A synthetic dataset of simple shapes with known ground truth concepts and how they relate to the image classes.
AngusNicolson/satml-trojans-textcavs
Entry to SaTML trojan competition 2024.
AngusNicolson/tcav
Code for the TCAV ML interpretability project
AngusNicolson/ACE
Towards Automatic Concept-based Explanations
AngusNicolson/CareerCon2019-Kaggle-Entry
My code to produce entries to the Kaggle CareerCon2019 competition
AngusNicolson/factorial_experiment_analysis
Python code to analyse factorial experiments.
AngusNicolson/hello-world
Learning how to GitHub.
AngusNicolson/gym-super-mario-bros
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
AngusNicolson/numpy_neural_net
Neural net for binary classification using numpy. Credit to Piotr Skalski's Medium post for help writing this.
AngusNicolson/pong
A classic game of pong, made using the pygame library.
AngusNicolson/post-hoc-cbm
Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
AngusNicolson/spinningup
An educational resource to help anyone learn deep reinforcement learning. - having a play around with RL
AngusNicolson/stable-diffusion
A latent text-to-image diffusion model
AngusNicolson/StyleFlow
StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
AngusNicolson/zero-shot-image-to-text
Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic