Kleyson de Sousa Rios's repositories

pentaho-integrator-plugin

Integrator plugin for Pentaho 5

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puppet-pentaho

Puppet module to deploy a Pentaho server

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snsdl

Deep Learning helper

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augmented-reality

Augmented reality proof of concept project with Python and OpenCV

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auto-changelog

Command line tool for generating a changelog from git tags and commit history

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darknet-yolo

Docker image and scripts to fine-tuning a Yolo model in a custom dataset.

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dlb_pos

RepositĂłrio para Benchmark da tarefa de PoS em PortuguĂŞs

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dlib-for-android

Compile and embed Dlib in your Android projects with ease.

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dynaconf

The dynamic configurator for your Python Project :wrench:

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google-colab

Repository for Google Colab notebooks

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imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

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keras-triplet-loss-mnist

Keras model trained using semi-hard triplet Loss (tensorflow function) on MNIST

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metabase-migration

Script to update and duplicate question/card in Metabase

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metabase-sql-wrapper

This is a docker-container based on Metabase container that automatically saves Metabase H2 database to SQL-file and creates Metabase H2 database from SQL-file.

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opencv_android

Android OpenCV Integration

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opencv_templatematcher

OpenCV Image / Template Matcher

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pentaho-cda-graphql

Pentaho CDA datasource for GraphQL

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Plant_Disease_Detection

Plant Disease Detector Web Application

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Pyrebase

A simple python wrapper for the Firebase API.

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python-clean-architecture

Python Clean Architecture Example

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RLTrader

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

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roop

one-click face swap

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smart-n-sens-blog

Smart&Sens blog

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Stock-Trading-Environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

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Stock-Trading-Visualization

A simple, yet elegant visualization of our stock trading RL agent environment.

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weight_uncertainty

Implementing Bayes by Backprop

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