ProfBressan's repositories
buildOpenCV
Scripts for build OpenCV on the NVIDIA Jetson Nano Developer Kit
hikvision-tftpd
Unbrick a Hikvision device (NVR or camera) via TFTP
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.
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
tornado
The Tornado :tornado: framework, designed and implemented for adaptive online learning and data stream mining in Python.
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.
MNIST-JPG
MNIST dataset in JPG format
convert2Yolo
This project purpose is convert voc annotation xml file to yolo-darknet training file format
yolo-license-plate-detection
A License-Plate detecttion application based on YOLO
libdescriptors
Global Image Descriptors
DeepLearningBook
Repositório do Deep Learning Book - www.deeplearningbook.com.br
Feature-Selection-for-Machine-Learning
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
xml2yolo
label file converter: xml to yolo
DataAugmentationForObjectDetection
Data Augmentation For Object Detection
modAL
A modular active learning framework for Python
opfython
🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.
darknet
Convolutional Neural Networks
ImFEATbox
Image Feature Extraction and Analyzation Toolbox
HBMQTT_Paho_MySQL_MongoDB
Python-based MQTT: HBMQTT, Paho, MySQL & MongoDB
LibOPF
LibOPF is a library of functions and programs for free usage in the design of optimum-path forest classifiers.
self-ensemble-visual-domain-adapt
Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'
MultimodalApproachCBIR
A Multimodal Approach in Content Based Image Retrieval
Concept-Drift-and-Model-Decay
Evaluating model decay as the underlying concepts for classification evolve
Concept-Drift
Concept Drift Detection Through Resampling - Algorithms Implementation
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
concept-drift-1
Algorithms for detecting changes from a data stream.