hugh-dickens Goto Github PK
Type: User
Location: London, UK
Type: User
Location: London, UK
ArUco marker tracking on the HoloLens, implemented in Unity.
This project simulated the launch of an Atlas V Rocket through the atmosphere and into space. The design features were extracted from the Atlas V user guide (easily accessible online).
Statistical machine learning research carried out at Durham University. The research involved applying the knockoff filter for variable selection for the prediction of EV charging used given demographic data in the Netherlands. Confronted with data for >1M transactions and 32M meter readings for 52k users, pre-processing was carried out before performing variable selection on the accumulated data.
During a brain machine interface module we were tasked with the design or a neural decoder to reconstruct the trajectory of a monkey's hand movement given invasive neural recordings.
A starting point for Clean Architecture with ASP.NET Core
C# clean coding principles tutorial to practise different refactoring techniques.
C# Generics Course for learning purposes
This project simulated the motion of a spring with damping. It was carried out during the first year of my undergraduate studies. It was also the first Matlab project I undertook.
This deep reinforcement learning coursework was carried out both as a tutorial and the first part of a coursework. On completion of this section, a deep-Q network could then be constructed. The main aim was to familiarise us with a few different deep reinforcement learning algorithms as well to practise visualising the results.
As part of a Reinforcement Learning module. The task was to write a deep Q-learning algorithm that was given 10 minutes to learn on a randomised course and had to reach the goal from the start location.
Contains the software for a foot video game controller rapidly prototyped for rehabilitation of foot drop.
Gradebook tutorial for C# .NET learning and development
The first Reinforcement Learning grid world coursework completed. This involved writing Monte-carlo and temporal difference learning algorithms. On top of this, optimisation dynamic programming algorithms were written to determine the optimal value function.
Puzzles and coding challenges mostly maths based written in python.
Creating this repository as a tutorial
Sample code and documentation for using the Microsoft HoloLens 2 for Computer Vision research.
Programs to calibrate HoloLens front-facing camera, supporting HL1 and HL2
Implementing generics in C#
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
LINQ fundamentals course
LINQ querying and more complex data manipulation using a range of functions. Completed as part of the LINQ fundamentals course.
Within this repository are all the exercises carried out for the Machine Learning course authorized by Stanford University and offered through Coursera.
Hololens 2 detection of ArUco markers using openCV in research mode.
Networking library for Unity in combination with UWP and/or Hololens
Python bindings for the Myo SDK
Thalmic Myo armband implementation in Unity to access the EMG data from the device and store it in a CSV file at the end of a routine.
A numerical methods coursework as part of an Engineering Mathematics module. The code was written and then results analysed for a variety of questions faced with. Completed in 2018.
A library experimenting different ways to stream and analyse real-time video feed from a Raspberry Pi 4.
This Engineering Mathematics coursework was completed in 2018. It involved regression analysis of data.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.