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
Machine Learning for Go
Curso introdutório a Ciência de Dados.
Curso de introdução à ciência de dados ministrado no JATIC 2017 - UNIFACISA
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Open Source Differentiable Computer Vision Library for PyTorch
Label Studio is a multi-type data labeling and annotation tool with standardized output format
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
Learn OpenCV : C++ and Python Examples
sample micro-service in C++
Framework to streamline use of neural networks
Open Machine Learning Course
OpenMMLab Detection Toolbox and Benchmark
Neural Networks library in pure numpy
Running object detection on a webcam feed using TensorRT on NVIDIA GPUs in Python.
Multiple object tracking with a fixed, overhead camera using background subtraction and Kalman filters
An open source tool to quantify the world
Web site of the Computational Optimal Transport book
Object detection and instance segmentation toolkit based on PaddlePaddle.
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see http://wiki.postgresql.org/wiki/Submitting_a_Patch
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A python wrapper for gco-v3.0 package, used for graph cuts based MRF optimization.
A collection of design patterns/idioms in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Minimal PyTorch implementation of YOLOv3
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Exemplo de aplicação do método Recência, Frequência e Valor Monetário - RFV
Retrieval of Semantic Information from Textual Objects - Temporal Tagger
ROIPooling for pytorch