annatz Goto Github PK

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annatz's Projects

bayesian-changepoint-detection

Statistical change-point detection on UK coal mining disaster data (1851-1962) using Bayesian optimization to identify significant shifts in disaster rates.

brain-tumor-mri-classification

Deep learning modelling using EfficientNet B3 for brain tumor classification from MRI images to improve early diagnosis and treatment outcomes.

cg-transformations-viewing

Comprehensive computer graphics project covering triangle filling, transformations and projections, and viewing with lighting and shading using various algorithms and techniques.

customer-behavior-analysis

Analysis of Starbucks customer behaviour using transactional, demographic, and marketing interaction data to evaluate spending patterns and promotional effectiveness.

dff-concept-discovery

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'.

dnn-explainability-survey

Comprehensive survey on Deep Neural Network (DNN) explainability methods, detailing state-of-the-art techniques for making AI decisions transparent and understandable.

forecasting-air-pollutants

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.

jpeg-baseline-codec

Development of a JPEG encoder/decoder following ISO/IEC 10918-1:1994, focusing on the baseline sequential DCT-based process.

loan-default-risk-analysis

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.

lrp-pruning-explained

Summary of an innovative paper on using DNN explainability techniques for pruning and quantization, highlighting methods to identify expendable parameters and optimise neural networks.

opinion-dynamics-simulation

Comprehensive simulation framework exploring opinion formation dynamics in communities using spatial positioning and social networks, implemented in Python for efficient large-scale scenarios.

patient-drug-use-prediction

Predictive modelling to assess drug use likelihood using demographic, psychological, and behavioral data, featuring exploratory analysis and various classification techniques.

realtime-messaging-lab

Real-time message exchange system, featuring message generation, passive reception, and active sending, implemented with multithreading for continuous operation.

resnet50-explanation-lime-sidu

Demonstration of LIME and SIDU AI explainability techniques on ResNet50 image classification model predictions.

sentiment-classification-nltk

Text sentiment classification on movie reviews using NLTK in Python, featuring preprocessing, feature extraction, classifier training, and performance evaluation.

stock-plotter-pyqt5

Interactive application for visualising stock data and financial indicators, featuring data processing with pandas and numpy, and interactive plotting with PyQt5 and matplotlib.

sudoku-solver-cpp

C++ program to solve Sudoku puzzles using a backtracking algorithm, featuring interactive mode for user input and demonstration of arrays, loops, and functions.

tweet-sentiment-classification

Sentiment analysis of Dell tweets using XLNet to classify emotions as positive, negative, or neutral, aiding strategic business adjustments based on customer feedback.

weather-vis-shiny-app

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.

yelp-neural-recommendations

Neural Collaborative Filtering system for personalized restaurant recommendations, trained on Yelp's dataset, combining GMF and MLP for advanced user-item interaction understanding.

annatz Goto Github PK

annatz's Projects

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