sergiovirahonda Goto Github PK
Name: Sergio Virahonda S.
Type: User
Bio: Software Engineer
Location: CDMX
Name: Sergio Virahonda S.
Type: User
Bio: Software Engineer
Location: CDMX
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!
Code commit
Data commit
This repo contains the necessary files and datasets to automatically train a CNN with some help of CICD and Jenkins
This repository contains the code files required to retrain a CNN model if a dataset change is detected.
Prediction API
Unit testing
This repository is part of a project which seeks to build DIY deep fakes' models from scratch. Also it's part of an article that explains how to achieve such task.
This repository contains the images' dataset used to train a deepfake autoencoder.
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!
An ODBC-powered DB backend for Django 1.4+
Dataset about people wearing face masks, all of them properly labelled.
This repository contains the file required to implement a YOLOv5 face mask detector on TFLite interpreter
This repo contains the additional files required to run YOLOv5 detections on Raspberry Pi boards. Copy these files into /yolov5 folder
This is a template for ML training on Intel DevCloud for Edge
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.
This repo contains the .whl file required to install PyTorch on Raspberry Pi boards with arm7l architecture.
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.
This is a previous project already shared here but this time adapted to run on top of AWS Lambda.
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