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bayesianoptimization

A Python implementation of global optimization with gaussian processes.

contour-analysis

control

A repository for control benchmarking code

course-content

NMA Computational Neuroscience course

cpp_course_assignments

8 Assignments that were used to assess my progress in my undergraduate OOP module

cpp_edms

Experiemental data management system: designed to store different data types and provide fits and add different experiments to a library of containers

dynamical-systems-applied-to-neuroscience

Analysis and examples follow the book Spikes, Actions and Decisions: dynamical foundations of neuroscience by Hugh R. Wilson

fish_simulator

Python toolbox to transform zebrafish tracking data to tail animations

get-started-with-jax

The purpose of this repo is to make it easy to get started with JAX. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning JAX.

havok-method

Apply time embedding to time series to data

ilqr

iterative Linear Quadratic Regulator with constraints.

ipython-notebooks

A collection of IPython notebooks covering various topics.

izhikevich-spiking-glm-model

Fit Generalised Linear Model to data generated by dynamical izhikevich neuron constrained by different hyper-parameters

jax-lfads

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

ml_contour_analysis

Use machine learning methods to analyse data

npp

Neural Preprocessing Pipeline (NPP) extracts ROI fluorescent traces from raw byte stream dat files

ocaml-tutorial

Tutorial de OCaml para iniciantes na Linguagem.

programming-notes

rawdatconversion

rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

swot

Identify email addresses or domains names that belong to colleges or universities. Help automate the process of approving or rejecting academic discounts.

thomasmullen.github.io

Academic personal websites, forked from mmistakes/minimal-mistakes

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)