Sergio Virahonda S.'s repositories
AnomalyDetection
This repository is part of an article about how to forecast and detect anomalies on time-series data. The main objective is to train a RNN regressor on the Bitcoin dataset to predict future values on then detect anomalies in the whole data window - that last step achieved by implementing a RNN Autoencoder. You'll see some other models in the notebooks that I've provided to you in case they are of your interest and this RNN regressor + RNN Autoencoder doesn't perform well for your purpose in any other scenario. The dataset used is available at https://www.kaggle.com/mczielinski/bitcoin-historical-data and contains BITCOIN/USD 1-minute candle data, from 2012-01-01 to 2020-12-31. I hope you can get advantage of this approach!
FaceMaskDetectionOnPi
This repo contains the additional files required to run YOLOv5 detections on Raspberry Pi boards. Copy these files into /yolov5 folder
AutomaticTraining-DataCommit
Data commit
Depression-Prediction
This project is an improved version of a previous one that used a Logistic Regressor model from Sciki-Learn. This time, I'm using a Keras RNN to achieve the same task. Also there's a folder about how to deploy the model on AWS SageMaker; check it out!
FaceMaskDataset
Dataset about people wearing face masks, all of them properly labelled.
FaceMaskDetection
This repository contains the file required to implement a YOLOv5 face mask detector on TFLite interpreter
AutomaticTraining-CodeCommit
Code commit
AutomaticTraining-Dataset
This repo contains the necessary files and datasets to automatically train a CNN with some help of CICD and Jenkins
AutomaticTraining-Interface
This repository contains the code files required to retrain a CNN model if a dataset change is detected.
AutomaticTraining-PredictionAPI
Prediction API
AutomaticTraining-UnitTesting
Unit testing
DeepFakesDataset
This repository contains the images' dataset used to train a deepfake autoencoder.
django-pyodbc
An ODBC-powered DB backend for Django 1.4+
intel-devcloud-ml
This is a template for ML training on Intel DevCloud for Edge
MelanomaClassification
This project is based on a dataset of bening/malignant melanoma images from a Kaggle competition which I tackled with a Keras Convolutional Neural Network.
PyTorchForRPi
This repo contains the .whl file required to install PyTorch on Raspberry Pi boards with arm7l architecture.
scikit-learn-sagemaker-container
This project is about making things simpler when deploying custom models to SageMaker through ECR. Instead of using the suggested AWS template, I've followed the AWS suggestions to build a container fully compatible with ECR, but made simple.
SpamEmailsOnLambda
This is a previous project already shared here but this time adapted to run on top of AWS Lambda.