Name: Aldo Camargo
Type: User
Company: University of Maryland
Bio: I am Aldo Camargo, Ph.D. EE from the UND, Grand Forks (USA). My research of interest are machine learning, DL, computer vision, neuroscience, genetics.
Location: Maryland, USA
Aldo Camargo's Projects
CCA as a resilience biomarker
A C++11 library for serialization
A Python implementation of the Chambolle-Pock algorithm for image processing applications examples
The tools of the Human Connectome Project (HCP) adapted for working with non-HCP datasets
C++ Library for reading and writing CIFTI-2 and CIFTI-1 files
ciftiTools R package
Descripcion del sonido, su caracterizacion; asi como las caracteristicas usadas para su clasificación. Se analizar la clasificación de audio usando modelos de aprendizaje automático (ML) y aprendizaje profundo (DL).
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Mirror of CMake upstream repository
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Bears for coala
Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.
Source code examples from the Parallel Forall Blog
Harmonization of multi-site imaging data with ComBat
combining p-values using modified stouffer-liptak for spatially correlated results (probes)
ComprimePDF, project to compress files
A technical report on convolution arithmetic in the context of deep learning
Groupwise, between modality coregistration using a normalised joint total variation (NJTV) cost function.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
We are building an open database of COVID-19 cases with chest X-ray or CT images.
COVID-Net Open Source Initiative
Deep Learning Course website
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Benchmarking Analysis of Vision Kernels on Embedded CPU, GPU and FPGA
A Python-embedded modeling language for convex optimization problems.
Choose std or Boost library
PyTorch package for the discrete VAE used for DALL·E.