Sergio Virahonda S. (@sergiovirahonda)
  • Stars
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    66
  • Global Rank 280,620 (Top 10 %)
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  • Registered over 4 years ago
  • Most used languages
    Python
    20.0 %
  • Location 🇲🇽 Mexico
  • Country Total Rank 686
  • Country Ranking
    Python
    672

Top repositories

1

TweetsSentimentAnalysis

Jupyter Notebook
33
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2

DeepFakes

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.
Jupyter Notebook
12
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3

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!
Jupyter Notebook
10
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4

FaceMaskDetectionOnPi

This repo contains the additional files required to run YOLOv5 detections on Raspberry Pi boards. Copy these files into /yolov5 folder
Python
4
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5

Depression-Anxiety-On-Twitter

Jupyter Notebook
1
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6

FaceMaskDetection

This repository contains the file required to implement a YOLOv5 face mask detector on TFLite interpreter
Jupyter Notebook
1
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7

FaceMaskDataset

Dataset about people wearing face masks, all of them properly labelled.
1
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8

AutomaticTraining-DataCommit

Data commit
Python
1
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9

TweetsSentimentPrediction

Jupyter Notebook
1
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10

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!
Jupyter Notebook
1
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11

Chase-Support-Tweets-NLP

Jupyter Notebook
1
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