Pinned Repositories
Anbima-scraping
web-scraping das datas de pagamento de juros e amortizações das debêntures listadas no site da Anbima Data
ava-mlsp
MLSP feature learning for the AVA aesthetics database
awesome-chatgpt
Curated list of awesome tools, demos, docs for ChatGPT and GPT-3
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Bing-COVID-19-Data
A repo for coronavirus related case count data from around the world. The repo will be regularly updated.
projecoes_2022
Projecoes das eleicoes de 2022 usando dados disponibilizados pelo Jornal Nexo.
piterdias's Repositories
piterdias/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
piterdias/datascience-pizza
🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos
piterdias/image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
piterdias/ava-mlsp
MLSP feature learning for the AVA aesthetics database
piterdias/portfolio_sortino_ratio
This function optimizes portfolio weights based on a user-specified weighted linear combination of the Sortino ratio, Sharpe ratio, average total return, average downside risk, average standard deviation of returns, and max drawdown.
piterdias/keras-vggface
VGGFace implementation with Keras Framework
piterdias/face_recognition
The world's simplest facial recognition api for Python and the command line
piterdias/MPADA
The implementation of MP_{ada} in Attention-based Multi-patch Aggregation for Image Aesthetic Assessment
piterdias/WT901BLECL
Process the data from this bluetooth module in python from PC
piterdias/deepImageAestheticsAnalysis
analyzing photo aesthetics and explaining through photographic attributes.
piterdias/HiddenWatermark
Embeds a hidden watermark in an image using a blind DWT-DCT approach