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Provas e gabaritos da POSCOMP, sem marcação das respostas 📚
Implemementação de uma otimização bayesiana aplicada a uma rede neural convolucional.
Generic U-Net Tensorflow implementation for image segmentation
UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation…
CNN for crack classification, intended for use in a crack inspection pipeline (see references).
Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview que…
A collection of research materials on explainable AI/ML
Tutorials for the basic functions of OpenCV Python.
Positron, a next-generation data science IDE
Guia de referências técnicas para carreira em dados
This repository contains everything you need to become proficient in Machine Learning
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Mastering Applied AI, One Concept at a Time
🧮 Um caminho para a educação autodidata em Matemática!
Pre-trained Neural Network models in Axon (+ 🤗 Models integration)
Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
Análise de Dados sobre índices de Depressão e seus fatores determinantes.
To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to…
Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Machine Learning Resources, Practice and Research
1-day workshop on advanced ggplot2 for posit::conf(2023) by Cédric Scherer
📺 Discover the latest machine learning / AI courses on YouTube.
Repository with the R and Python codes that I used in my master's thesis.