cjlcarvalho Goto Github PK
Name: Caio Jordão Carvalho
Type: User
Company: @ASML-Labs
Bio: Contributor at @KDE and @calamares.
Location: Netherlands
Caio Jordão Carvalho's Projects
ads-file-scraping
ADS IFBA website file scraper.
ai_utils
Utilities to be used with Tensorflow and Keras for AI techniques
akademy2019-presentation
Slides from my presentation at Akademy 2019
arsenic
Async WebDriver implementation for asyncio and asyncio-compatible frameworks
attention_ts
Multi-Head Self Attention Layer for Time-Series Prediction
augment
Image Data Augmentation Library
blok
Blok-Qt game using plugins.
calamares
Distribution-independent installer framework
calculator-undo-redo
Calculator with undo redo operations to practice Command design pattern.
carbon
Linear regression of CO2 emission using recurrent neural nets.
cjlcarvalho.github.io
Redirect to my personal blog.
cminus
A simple compiler for a simple language
covid-19inbahia
Data analysis about hospitalized COVID-19 patients in Bahia, Brazil with Python
docker-presentation
Material da apresentação sobre Docker, containerização e microsserviços
domino
Multiplayer Domino game made using Qt5.
dsds
Database Synchronization using RMI and UDP packets (Distributed Systems Assignment)
flair_ner
Using flair for NER with custom dataset
hands-on-ann
Some Artificial Neural Networks implementations in Python from scratch.
how-are-you
Convolutional Neural Network to identify my face emotions.
irregular
Guess game to learn irregular verbs in English language made with Flask.
isa-operational-system
C++ algorithm to simulate ISA operating systems.
iterator-super-power
Iterator design pattern using reflection.
kaggle
Solving Kaggle challenges.
kdenlive
Kdenlive is an intuitive and powerful multi-track video editor, including most recent video technologies.
keras-curso
Material da minha palestra sobre Keras.
kpmcore
Library for managing partitions. Common code for KDE Partition Manager and other projects.
labplot
Application for interactive graphing and analysis of scientific data
lime-octave
Implementation of "LIME: A Method for Low-light IMage Enhancement" with Octave compatibility.
llnet
A low light image enhancement with deep learning
llnet_color
Official implementation for color version of: LLNet: A deep autoencoder approach to natural low-light image enhancement by Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar
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