Name: Raphael Teixeira
Type: User
Company: Universidade Federal do Pará
Bio: UFPA Tucuruí @UFPA_Oficial : Matemática Aplicada, Sistemas dinâmicos, Identificação, Controle e Inteligência Computacional;
Twitter: TxRaphael
Location: Tucuruí, Pará, Brasil
Blog: https://raphateixeira.github.io/
Raphael Teixeira's Projects
Repositório da disciplina Circuitos elétricos II
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors
Livro Interativo de Deep Learning com Multiplos Frameworks, Conceitos Matemáticos e Discussões
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
A deep learning framework for symbolic optimization.
Site Discentes PPGCC/PUCRS:
Jupyter notebooks for Dynamics and Control
Efficient Model Predictive Control Implementation
Material sobre modelagem e controle usando espaço de estados
Repositório da disciplina de fundamentos de aprendizagem de máquina (UFPA-NDAE-PPCA)
Learn Fourier analysis using live scripts and apps.
By generating new images using DCGAN, WGAN, and VAE-GAN, this project aims to diversify and enrich training datasets, preventing overfitting and improving model generalization.
A GAN approach in keras on the mnist dataset using only MLP's
Genetic Programming in Python, with a scikit-learn inspired API
Curso de HTML5 e CSS3
Composable GAN framework with api and user interface
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Koopman Reduced-Order Nonlinear Identification and Control
A handmade collection of latex templates, classes and style files
Escrevendo manuscritos acadêmicos usando rmarkdown. LatinR 2020
Descrição do Perfil