MJHutchinson/BayesMLP

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Created almost 6 years ago
Updated over 5 years ago

MJHutchinson/BayesMLP

MJHutchinson

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Code to train and evaluate flexible MLP structure Bayesian Neural Networks using Variational Inference on UCI datasets.

ExtrinsicGaugeIndependentVectorGPs

A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes

neural-processes

Implementation of neural processes and a number of extensions in pytorch for StatML 2019 Statistical Machine Learning course

Jupyter Notebook

covid19-google-mobility-extractor

Code to pull data out of the google mobility report pdfs into csv format, plus all data preprocerssed in this way.

Jupyter Notebook

SteerableCNP

MinecraftAR

AR mod for minecraft overlays

PytorchBayes

Pytorch implementation of Bayesian Neural Networks, trained with Variational Inference

4M17-2-Optimisation-Alg

4M17 coursework 2 algorithm implementation

PytorchPrivacy

Implementation of various utilities for performing Differential Privacy operations in PyTorch.

3F7-Non-binary-compresson-algorithms

Code and report for a 3rd year extended project to extend the encoding of the Huffman and Arithmetic encoding algorithms to arbitrary base

CT-Scan-3rd-year-project

A project centred around reconstructing images from ct scan data, turning this into a 3d model and manipulating the model