FEDn: A production-grade, open federated learning framework. This repository contains the open source Python framework, CLI and API.
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Updated
Jun 10, 2024 - Python
FEDn: A production-grade, open federated learning framework. This repository contains the open source Python framework, CLI and API.
The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".
A django application for Stock Portfolio.
Keras-Tensorflow implementation of complex-valued convolutional neural networks
Cryptocurrency prediction using LSTM (Long Short Term Memory)
The repository presents the notebooks and models used for my experimental thesis entitled: "Experimental Study of the Steel Market Through CNN-LSTM Deep Learning Models: Practical Applications for Cost Reduction in Industries"
Machine Learning - Projects.
This repository contains a Deep Learning model using Convolutional Neural Networks (CNN) for predicting strokes from CT scans. The model aims to assist in early detection and intervention of strokes, potentially saving lives and improving patient outcomes.
A modular inverse QSAR pipeline
ML/DL Life Cycle utilities with support for BingImageCreator and Discord
🌟 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their respective classes.
Times Series, Classification-label/image, Regression
end-to-end face regontion project based on tensorflow
This project is the finl project of the bachalor´s degree in Informatic Engineering. It is a webapp build using django framework, html and css. It used Mysql database.
A summative coursework for CSC8635 Machine Learning with Project
Convolutional Neural Network And Multimodal Learning with Graphic User Interface for Digital Pathology
Kepler Estimator
This repository serves as a showcase for my data science projects, demonstrating a project on classification on HDPE and PET plastic bottle waste using convolution neural networks
Basic image classification on the MNIST dataset using tensorflow, keras and neural networks.
Data Science Project: Comparing 3 Deep Learning Methods (CNN, LSTM, and Transfer Learning).
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