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Statistical change-point detection on UK coal mining disaster data (1851-1962) using Bayesian optimization to identify significant shifts in disaster rates.
Deep learning modelling using EfficientNet B3 for brain tumor classification from MRI images to improve early diagnosis and treatment outcomes.
Comprehensive computer graphics project covering triangle filling, transformations and projections, and viewing with lighting and shading using various algorithms and techniques.
Analysis of Starbucks customer behaviour using transactional, demographic, and marketing interaction data to evaluate spending patterns and promotional effectiveness.
Implementation of Deep Feature Factorization to unravel and visualize high-level concepts learned by CNNs, based on methodologies from ECCV 2018’s 'Deep Feature Factorization for Concept Discovery'.
Comprehensive survey on Deep Neural Network (DNN) explainability methods, detailing state-of-the-art techniques for making AI decisions transparent and understandable.
Modelling to forecast air pollution levels in an Italian region using ARIMA, based on weekly data (2014-2017) of pollutants like PM10, PM2.5, O3, NO2, CO, and SO2.
Development of a JPEG encoder/decoder following ISO/IEC 10918-1:1994, focusing on the baseline sequential DCT-based process.
Comprehensive loan default risk analysis, focusing on the impact of factors like income, marital status, and property ownership on loan repayment, based on standard statistical methodologies.
Summary of an innovative paper on using DNN explainability techniques for pruning and quantization, highlighting methods to identify expendable parameters and optimise neural networks.
Comprehensive simulation framework exploring opinion formation dynamics in communities using spatial positioning and social networks, implemented in Python for efficient large-scale scenarios.
Predictive modelling to assess drug use likelihood using demographic, psychological, and behavioral data, featuring exploratory analysis and various classification techniques.
Real-time message exchange system, featuring message generation, passive reception, and active sending, implemented with multithreading for continuous operation.
Demonstration of LIME and SIDU AI explainability techniques on ResNet50 image classification model predictions.
Text sentiment classification on movie reviews using NLTK in Python, featuring preprocessing, feature extraction, classifier training, and performance evaluation.
Interactive application for visualising stock data and financial indicators, featuring data processing with pandas and numpy, and interactive plotting with PyQt5 and matplotlib.
C++ program to solve Sudoku puzzles using a backtracking algorithm, featuring interactive mode for user input and demonstration of arrays, loops, and functions.
Sentiment analysis of Dell tweets using XLNet to classify emotions as positive, negative, or neutral, aiding strategic business adjustments based on customer feedback.
Shiny app for visualizing UK meteorological data (2020-2022) from 20 weather stations, featuring time series plots, mapping, and potato blight risk assessment using the Hutton Criteria.
Neural Collaborative Filtering system for personalized restaurant recommendations, trained on Yelp's dataset, combining GMF and MLP for advanced user-item interaction understanding.
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.