🌠🌈Classificação de Corpos Celestes usando suas características espectrais🌐☄️
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Updated
Jun 30, 2024 - Jupyter Notebook
🌠🌈Classificação de Corpos Celestes usando suas características espectrais🌐☄️
Create image annotations. Classify and tag images using polygons, bounding boxes, or circles.
Neural Network from scratch in C# with CUDA support
🖼️ Classify images and attempt to extract data from or describe their contents using machine learning
2D Ising model phases classification using feedforward neural network.
Simultaneously identify latent group structures and estimate group-specific coefficients in panel data models
Exploratory Data Analysis (EDA) through visualizations; Deep Learning to classify.
This project is part of a Kaggle competition aimed at predicting whether a given tweet is about a disaster or a normal event. The solution involves preprocessing the tweet text data and training a Long Short-Term Memory (LSTM) model to classify tweets.
ICASSP 2023: AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (AI-MIA-COV19D): An accurate automated solution for COVID-19 diagnosis using UNet segmentation, lung extraction, and classification framework
Evolutionary Algorithms Framework
This project aims to explore satellite image dataset in order to create a CNN model for wildfire prediction problem. There are some ideas to integrate image segmentation and augmentation models.
This project showcases iris flower classification using machine learning. It's a beginner-friendly example of data science and classification techniques.
A simple monitoring tool that classify nostr events (SFW/NSFW, language, topic, sentiment, toxic comment, etc). A core module of atrifat/nostr-filter-relay.
The Machine Learning Module
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
This project utilizes machine learning techniques, including libraries such as Scikit-learn for classification tasks and TensorFlow for building and training neural networks, to classify malicious links. The model has been trained and tested on a dataset.
Open source Python library for building bioimage analysis pipelines
Add a description, image, and links to the classification topic page so that developers can more easily learn about it.
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