gustavo luz's repositories

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smart-walking-cane

Smart cane for blinds with TRL 3. Made with arduino nano, 3 ultrasonic sensors and buzzer

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IoT_Waste_Collection

Code to optimize the route of a truck that collects weight using Google OR-Tools CVRP model and Distance Matrix API.

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ppg-unb

Data Science project to explore the graduate program in human nutrition at UnB performing text mining and network analysis

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scrapy

Repository to practice scrapy at python

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stories_watcher

Instagram Bot to watch stories. Opens browser on my computer, search for instagram, open first stories and then watches as many as specified bu user

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waze_roteirization

code to optimize the roteirization of logistics trucks in selective collection. It takes the latitudes and longitudes of 10 points and calculates the shortest path using the haversine formula. After the calculations, the waze api can be used to show the paths

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certificates

relevant certificates of courses and activities taken

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delete_tweets

Repository containing code to delete an selected amount of tweets

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desafio-observatorio

Desafio técnico para a vaga de desenvolvedor Python na Observatório da Indústria

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Esp_Clock_Matrix

max7219 esp8266 clock alternatives

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Instagram-API-python

Unofficial instagram API, give you access to ALL instagram features (like, follow, upload photo and video and etc)! Write on python.

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Mask_RCNN_docker

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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portfolio

Personal website, Data scientist portfolio

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Portfolio_v1

My personal website with some projects

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rebar

Code for Retrieval-Based Reconstruction For Time-series Contrastive Learning (ICLR 2024)

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signaled_intersection

Operational Research Project simulating a signaled intersection to optimize the time of two traffic signs to minimize the cost to society.

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yolov7_with_yaml_optimizers

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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