Pinned Repositories
advanced_tensorflow
This repository shows how we can use Tensorflow 2.X advanced functionalities in order to build our custom Loss Functions, Layers, Models and even Callbacks. This is very useful to adapt any given project to its own nature given business context and organization necessities.
airflow-soccer-data
This repository gathers the scripts you need in order to build and deploy a DAG to Apache Airflow, which automates the extraction of soccer matches results and then the loading of the acquired data into a database.
automl-gfluz
aws-deploy-cicd
This repository will attempt to put in place an end-to-end ML development, with CI/CD capabilities. Basically, a model for fraud detection will be trained and then dumped to an Amazon S3 bucket. Hence, we will build a Docker container that will be automatically pushed do AWS ECR for further deployment with AWS Sagemaker.
bert-pytorch-aws-sagemaker
Transfer learning with a Portuguese BERT model and further deployment in AWS SageMaker. I used the approach "bring your own code". Therefore, everything was developed with Docker and my own server for deployment.
credit-risk-modeling
This repository aims at building a packaged solution for credit risk assessment. The main idea is, in accordance to Basel II, develop models for the A-IRB approach - in other words, internally estimating probability of default (PD), loss given default (LGD) and exposure at default (EAD), in order to compute expected loss (EL).
light-ml
This is a library developed to incorporate useful steps in every data science and machine learning project, in order to facilitate and accelerate model development. Therefore, data scientists can spend less time working on coding preprocessing methods/scripts and use this time more wisely to create new features and tune the best model.
RG_OCR
This repository is intended to perform Optical Character Recognition in a Brazilian ID document.
scheduler-job-shop
This repository focuses on providing an optimization solution to Job Shop problem, along with an interactive interface (dashboard) where the user can add jobs and restrictions, according to their business use case, and then get the results in a user-friendly fashion.
udacity-mle-starbucks-capstone
Repository containing code and files necessary to the development of Udacity's AWS Machine Learning Engineer Nanodegree capstone project. I applied a classification algorithm framework in order to address customer behaviour and responsiveness while using Starbucks rewards mobile app.
gfluz94's Repositories
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