LawrenceMMStewart

Semi-Supervised-Learning-with-OT

Bayesian_Optimization

Bayesian Optimisation for Parameter Tuning of the XOR Neural Network

DiffClust_NeurIPS2023

Differentiable Clustering with Perturbed Random Forests, NeurIPS2023

Regression-as-Classification

Code for paper: Regression as Classification: Influence of Task Formulation on Neural Network Features

Segat

FGSM attack Pytorch module for semantic segmentation networks, with examples provided for Deeplab V3.

jaxclust

Differentiable clustering in JAX.

Adversarial_Attack

Pytorch adversarial attack project

LawrenceMMStewart.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

Dotfiles

Dotfiles

GraphConvolutionNetworks

Contains GCN training and a module that generates Erdos Reyni Graphs for training.

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

Kernels_MVA

kernels data challenge

M3C1-Networks-and-Random-Walks

M3C1 Imperial College London 2017

Learning_Theory_from_First_Principles

Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach

M3C_2-Fortran_Python_Optimisation

macos-terminal-themes

Color schemes for default macOS Terminal.app

make_perturbed_argmax-variance-reduction

Example notebook for PR of Jaxopt. Demonstrates variance reduction when noise has zero mean.

MT_MVA

MT Projet MVA

Twitter_UK2019GE

Twitter Analysis from UK 2019 election tweets.