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Master Degree
Stars related to the repositories that help me in the master's degree.MLE
Projects that I want and that are related to the theme of machine learning engineer, in a nutshell, career-related repositories.Side Projects
Projects I want to explore in my spare time.Language
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Public developer API documentation for Gods Unchained.
An introductory machine learning classifier for drum samples.
This is a simple script that will download your activities from Strava and upload them to TrainingPeaks in assisted mode.
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
This is a workshop designed for Amazon Bedrock a foundational model service.
🧠💻 USeS-BPCA: U-Net Semantic Segmentation BPCA Pooling
Web labeling tool for bitmap images and point clouds
LLM-powered document chat using Amazon Bedrock and AWS Serverless
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
Keychron / qmk_firmware
Forked from qmk/qmk_firmwareOpen-source keyboard firmware for Atmel AVR and Arm USB families
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Minimalistic COCO Dataset Viewer in Tkinter
👋 Xplique is a Neural Networks Explainability Toolbox
The official homepage of the COCO-Stuff dataset.
Assistente virtual com informações sobre as resoluções 4.966 e 309 do Banco Central do Brasil e relacionadas, utilizando LLamaIndex com o modelo gpt-3.5-turbo
SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
I have implemented Image Segmentation using transfer learning in the U-net architecture with ResNet-34 dataset..
Visualize and compare datasets, target values and associations, with one line of code.
COCO Semantic Segmentation Using UNET
Example of semantic segmentation with Tensorflow 2.0 #Tensorflow2 #Semantic #Segmentation
Visualising what a convolutional neural network 'sees' using the Deconvnet technique, which identifies parts of an image that a given neuron/layer is sensitive to. Analysis performed using VGG.