ben-sanati Goto Github PK
Name: Ben Sanati
Type: User
Company: University of Edinburgh
Bio: PhD Student @ University of Edinburgh EPSRC CDT in Machine Learning Systems
Location: London
Name: Ben Sanati
Type: User
Company: University of Edinburgh
Bio: PhD Student @ University of Edinburgh EPSRC CDT in Machine Learning Systems
Location: London
This repository is part of an Innovate UK AKT project, a collaboration between the University of Southampton and an industry client. It involved dataset curation, mobile self-localisation, 3D mapping and object detection.
This project investigates the accuracy-specificity trade-off of early-exiting dynamic DNNs with two novel architectures: Gran-HBN and AG-HBN.
A project using economic indicators to predict the performance of the UK luxury fashion sector. A dataset of macroeconomic indicators is created and various time-series models are trained and tested. The Prophet model was found to be the best performing model, achieving a MAPE of 11.36%.
This report explores time series analysis, algorithmic trading, and portfolio optimization. It implements an ARIMA model for forecasting, compares pairs trading strategies on Tesco and Pershing Square Holdings, and derives an efficient portfolio using five stocks from the FTSE 100 index for comparison against a 1/n baseline portfolio.
A reproducibility project on the paper 'Gradient Descent: The Ultimate Optimizer'. The paper introduces hyperoptimisers that use automatic differentiation to compute optimal hyperparameter values during training. The findings support the claims proposed by the paper and provide further insight into additional features of interest.
AI Hackathon arranged by USAIS and hosted by Cirium at the University of Southampton. The aim of this hackathon was to process data about organized events and online flight query volumes to determine the events that lead to a spike in flight requirements. This would be used to inform airlines about when flights could be scheduled optimally.
AI Hackathon arranged by USAIS and hosted by Cirium at the University of Southampton. The aim was to forecast load-factor forecasts for 50 airlines, system-wide (how full on average the planes are). The top 6 teams presented their approach and findings to a panel of judges. The contributors performance earned us a summer internship at Cirium.
This project implements a MIPS processor simulator in C++. It interprets a limited set of MIPS assembly, enabling the implementation of a functional processor. The system features an automated assembly-machine code translator and offers modes for testing and execution. Specialized modules handle operations like arithmetic, multiplexing, etc.
A Scrapy introductory project following The Scrapy Playbook online series. This series creates a book scraper that scrapes the following webpage: https://books.toscrape.com/.
During my summer UG research internship, I explored the use of vision transformers (ViTs) for object detection, focusing on mitigating the computational requirements of transformer models. This project successfully achieved multiple objectives and identified crucial features for future advancements in object detection using ViTs.
Our Year 2 University project, Abor.io, promotes remote employee well-being during COVID-19. It incentivizes group workouts, fosters community, and maintains relationships. By encouraging simultaneous activity and offering rewards, Abor.io improves mental and physical health while ensuring productivity.
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.