Pinned Repositories
NeuralPlayground
The standardised environment for the hippocampus and entorhinal cortex models
CoG.com
Website for Cult of Gamers
ChessEngine
A chess-playing algorithm, implementing alpha-beta search, to play chess to a roughly 1800 (Chess.com) rated elo.
Classification
Investigating the logistic regression model using line search, Newton's method and steepest gradient descent.
ExpectationMaximisation
An EM algorithm that clusters mnist handwritten digits.
FittingProbabilityDistributions
Use ML, MAP and Bayesian methods to fit parameters of a Gaussian Distribution
HandwrittenDigitClassification
KernelRidgeRegression
Implementation of both Polynomial and Kernel Ridge Regression and analysis of Boston Housing data using KRR.
kNearestNeighbours
Analysis of the performance of a k-NN algorithm
MarkovChainMonteCarlo
MCMC algorithm that decodes an encrypted message, using transition probabilites determined by analysing War & Peace text.
LukeHollingsworth's Repositories
LukeHollingsworth/CoG.com
Website for Cult of Gamers
LukeHollingsworth/procgen
Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments
LukeHollingsworth/Tollman-Eichenbaum-Implementation
Implementation of the Tollman-Eichenbaum machine to an open-source collaborative framework for comparison of models and experiments, focusing on the hippocampus and entorhinal cortex.
LukeHollingsworth/ExpectationMaximisation
An EM algorithm that clusters mnist handwritten digits.
LukeHollingsworth/KernelRidgeRegression
Implementation of both Polynomial and Kernel Ridge Regression and analysis of Boston Housing data using KRR.
LukeHollingsworth/kNearestNeighbours
Analysis of the performance of a k-NN algorithm
LukeHollingsworth/MarkovChainMonteCarlo
MCMC algorithm that decodes an encrypted message, using transition probabilites determined by analysing War & Peace text.
LukeHollingsworth/Classification
Investigating the logistic regression model using line search, Newton's method and steepest gradient descent.
LukeHollingsworth/Regression
Investigating linear / non-linear regression using ML and Bayesian learning
LukeHollingsworth/MixedGaussians
Fitting simple parametric models to visual data (i.e. skin colour).
LukeHollingsworth/FittingProbabilityDistributions
Use ML, MAP and Bayesian methods to fit parameters of a Gaussian Distribution
LukeHollingsworth/HandwrittenDigitClassification
LukeHollingsworth/ChessEngine
A chess-playing algorithm, implementing alpha-beta search, to play chess to a roughly 1800 (Chess.com) rated elo.
LukeHollingsworth/UltimateBravery
Algorith to allocate random Origin and Class for Teamfight Tactics™.
LukeHollingsworth/SudokuSolver
An algorithm to solve Sudokus using a simple back-propagation algorithm.