Explore projects
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A project focused on weather classification using advanced deep learning techniques, specifically leveraging TensorFlow and a custom Convolutional Neural Network (CNN). The project involved the integration of four diverse weather datasets, namely ACDC, MWD, UAVid, and Syndrone, covering various weather conditions, including clear sky, cloudy, rainy, and sunny weather. Developed a custom CNN architecture using TensorFlow's Keras API, incorporating convolutional layers for feature extraction and dense layers for classification.
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Prediction of age from X-Ray images of hand bones using deep learning models. We used 3 models: Shallow, ResNet50, and InceptionV4. The best result achieved was with a mean absolute error of 10 months using InceptionV4. The preprocessing of data included computer vision techniques like CLAHE filter and reducing channels, and also creativities such as using the Google MediaPipe library to detect hands and crop on them.
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This project I created to show how to develop a docker image to use for data science applications
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This Car Prediction Project aims to predict v price, using Regression models. The project contains a collection of data files, model files, and Python scripts necessary for training and deploying car prediction Price models. This project encompasses a comprehensive set of data files, serialized models, and Python scripts necessary for training, evaluating, and deploying car price prediction models.
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Machine Learning Basics - implementation of: loss functions (cross entropy loss, L1 loss, L2 loss, hinge loss), regularizations (L1 regularizer, L2 regularizer, early stopping), gradient check, optimizers, training a simple deep model.
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A short introduction to some of the most known libraries in Python3 and R for data science. Here I intend to cover topics such as data manipulation, data cleaning, machine learning and databases in each language.
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Martin Brieger / Simple Convolutional Neural Network
GNU General Public License v3.0 or laterMy first neural network - built with Python, Scipy and Numpy
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Introduction to python packges for AI projects
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Jakob Blomquist / Corona Data Analysis
GNU General Public License v3.0 onlyA Jupyter notebook for analysis of corona cases
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This jupyter notebook goes through how to use python in you data analysis. Mainly analysis of experiments, such as peak analysis and curve fitting.
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Oromion / Introduction2ScientificPython
GNU General Public License v2.0 or laterCourse called Introduction to Scientific Python. Please see the syllabus.
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