Name: Adriano A. Santos
Type: User
Company: Ro-Main Conception
Bio:
PhD, MSc, MBA, Data Scientist, Analytics, ML and DL engineering, Researcher, Professor, NVIDIA DL Ambassador and Instructor, a lifelong learner.
Location: Québec - CA
Blog: https://medium.com/@adrianosantospb
Adriano A. Santos's Projects
A recurrent neural network (RNN) from scratch
Sistema de Apoio à Decisão Médica Baseado em Anaís
Aplicação de RNN em Visão Computacional (RNN, GRU e LSTM)
A curated list of awesome Deep Learning tutorials, projects and communities.
Repositório da disciplina de Banco de Dados II
BelaBot é resultado de um estudo sobre a criação de Chatbots. No entanto, diferentemente de um chatbot convencional, inseri algumas funcionalidades para deixar a "brincadeira" mais divertida. Além de escrever, Bela entende o que você fala e responde ao que você pergunta; tudo isso no idioma inglês.
Object detection, 3D detection, and pose estimation using center point detection:
An easy to understand and better performance version of CenterNet
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Projec for training to code interview
A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.
fast.ai Courses
Curso introdutório ao processo de Cleaning Data.
Aulas introdutórias ao NodeJS
standalone cython_bbox borrowed from faster-rcnn
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
Distributed Evolutionary Algorithms in Python
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
DeepLabv3+ for self driving cars
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Deep Learning Examples
Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs
Deformable Convolutional Networks
End-to-End Object Detection with Transformers
Deep Learning GPU Training System
Some tedious to build docker files
Documentation and API Reference