ProfBressan's repositories

buildOpenCV

Scripts for build OpenCV on the NVIDIA Jetson Nano Developer Kit

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hikvision-tftpd

Unbrick a Hikvision device (NVR or camera) via TFTP

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spark-infotheoretic-feature-selection

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

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fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

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tornado

The Tornado :tornado: framework, designed and implemented for adaptive online learning and data stream mining in Python.

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image-region-selection

This repository was made with the intention of learning how to use canvas and proof a concept about region selection on images.

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MNIST-JPG

MNIST dataset in JPG format

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convert2Yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

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yolo-license-plate-detection

A License-Plate detecttion application based on YOLO

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libdescriptors

Global Image Descriptors

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DeepLearningBook

Repositório do Deep Learning Book - www.deeplearningbook.com.br

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Feature-Selection-for-Machine-Learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

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xml2yolo

label file converter: xml to yolo

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DataAugmentationForObjectDetection

Data Augmentation For Object Detection

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MARRow

Active learning in Content-Based Image Retrieval

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modAL

A modular active learning framework for Python

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opfython

🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.

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darknet

Convolutional Neural Networks

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ImFEATbox

Image Feature Extraction and Analyzation Toolbox

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HBMQTT_Paho_MySQL_MongoDB

Python-based MQTT: HBMQTT, Paho, MySQL & MongoDB

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LibOPF

LibOPF is a library of functions and programs for free usage in the design of optimum-path forest classifiers.

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self-ensemble-visual-domain-adapt

Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'

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MultimodalApproachCBIR

A Multimodal Approach in Content Based Image Retrieval

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Concept-Drift-and-Model-Decay

Evaluating model decay as the underlying concepts for classification evolve

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Concept-Drift

Concept Drift Detection Through Resampling - Algorithms Implementation

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feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

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concept-drift-1

Algorithms for detecting changes from a data stream.

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