rogeriog
I am a programmer and PhD candidate on materials science, looking forward to implement nice codes for materials research, machine learning and IT in general.
Pinned Repositories
ActivityManagerPyQt
This is a Python Qt application that helps organize different activities and to monitor the time spent in each one following gamification principles.
AFLOWpi
Minimalist infrastructure for high-throughput calculations
autoencoder_tools
A package to help setup and hypertune the parameters of keras autoencoders.
BenchModnet
Boosting-feature-based-machine-learning-models-for-materials-science
Supporting information for the paper:
dfttoolkit
A place to put all scripts that may be useful in preparing and processing DFT results.
infinitefusion-e18
A heavily modified RPG Maker XP game project that makes the game play like a Pokémon game. Not a full project in itself; this repo is to be added into an existing RMXP game project.
JMolColors
RGB color tuples and hex color codes used for atom colors in JMol and VisIt
LangDeckGenerator
A Python script for creating Language Anki cards. Based on corpus text in a specified language, this is based on the work of errbufferoverfl/pearl-memory
minflow-dft
A python code to submit DFT calculations with Quantum Espresso like a workflow environment. It uses codes from several sources and is fine tuned for the specific environment I am using. However, some may find useful code in here to implement in their algorithms.
rogeriog's Repositories
rogeriog/LangDeckGenerator
A Python script for creating Language Anki cards. Based on corpus text in a specified language, this is based on the work of errbufferoverfl/pearl-memory
rogeriog/ActivityManagerPyQt
This is a Python Qt application that helps organize different activities and to monitor the time spent in each one following gamification principles.
rogeriog/AFLOWpi
Minimalist infrastructure for high-throughput calculations
rogeriog/autoencoder_tools
A package to help setup and hypertune the parameters of keras autoencoders.
rogeriog/BenchModnet
rogeriog/Boosting-feature-based-machine-learning-models-for-materials-science
Supporting information for the paper:
rogeriog/dfttoolkit
A place to put all scripts that may be useful in preparing and processing DFT results.
rogeriog/infinitefusion-e18
A heavily modified RPG Maker XP game project that makes the game play like a Pokémon game. Not a full project in itself; this repo is to be added into an existing RMXP game project.
rogeriog/JMolColors
RGB color tuples and hex color codes used for atom colors in JMol and VisIt
rogeriog/minflow-dft
A python code to submit DFT calculations with Quantum Espresso like a workflow environment. It uses codes from several sources and is fine tuned for the specific environment I am using. However, some may find useful code in here to implement in their algorithms.
rogeriog/LangLearnAI
This code produces language lessons using OpenAI API, Google TTS is used to generate audio from these lessons.
rogeriog/matminer-0.6.5-timed
Matminer version 0.6.5 with implementations of timetable to verify problematic cases in featurization.
rogeriog/MEGNetModelTools
A package to manipulate and generate MEGNet models from a given dataset.
rogeriog/modnet_b
MODNet: a framework for machine learning materials properties
rogeriog/modnet_misctools
Miscellaneous code to handle MODData, setup MODNet calculations, and other code useful for MODNet implementation is provided.
rogeriog/MODNet_Perovskite_Benchmark
# In this repository, several tests to improve the score of MODNet in the matbench_perovskites dataset will be attempted. The first tests include introducing features like OFM in the dataset, the OFM featurization brings too many information, therefore we use the trained MEGNet model to classify in the different OFM clusters.
rogeriog/ProjectVAE_MODNet
This repository contains files regarding the calculation and implementation of autoencoders for features in MODNet.
rogeriog/rogeriog.github.io
rogeriog/SOAP_featurization
Featurized matbench_mp_gap dataset with SOAP with different cutoff lengths. Afterwards, the featurized dataframe was divided in clusters with different number of clusters.
rogeriog/SQL-learning
SQL basics using python.
rogeriog/task-management-ui