Ramon Santos Souza's repositories

archcraft-bspwm

// Configuration : Bspwm

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awesome-multi-task-learning

2021 up-to-date list of papers on Multi-Task Learning (MTL), mainly for Computer Vision.

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bspwm-dots

Ozoz dotfiles for bspwm

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ciencia-de-dados

Esse repositório contém notebooks em Python relacionados ao curso de Ciência de Dados.

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cnn-regression

A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.

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code

Compilation of R and Python programming codes

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DeepLearningInteractiveVis

Interactive visualization of 3D CNN relevance maps

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eo-learn

Earth observation processing framework for machine learning in Python

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GDM

Generalized Dissimilarity Modelling - Ferrier et al. 2007

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Hyperspectral-Classification

Hyperspectral-Classification Pytorch

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kuenm

kuenm: An R package for detailed calibration and construction of Maxent Ecological Niche Models.

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land-use-classification-using-encoder-decoder-lstm

Biweekly mapping of land use and land cover using MODIS time series (MOD13Q1) and LSTM Neural Networks.

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mapbiomas-brazil.github.io

List of all Mapbiomas repositories

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mux-batch-import

Import a list of videos to Mux with ease 📹🔥

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ogh_summer_school_2020

Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"

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peregrine

R package to work on the RuG Peregrine cluster

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PhyCNN

Physics-guided Convolutional Neural Network

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phygnn

physics-guided neural networks (phygnn)

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Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

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Pulmonary-Nodule-Detection-Based-on-Deep-Learning

Using U-net, 3D CNN and cGAN to accomplish Pulmonary Nodule Detection. Also it's my undergraduate research program.

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Python-Send_WhatsApp

Automação de Whatsapp com Python

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r-sdm

Repository to build SDMs

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RicePAL

codes for RS paper: Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal

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sciann

Deep learning for Engineers - Physics Informed Deep Learning

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shap

A game theoretic approach to explain the output of any machine learning model.

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tensorflow-som

A multi-gpu implementation of the self-organizing map in TensorFlow

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