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
Gaussian processes framework in python
Neuropycon package of functions for electrophysiology analysis, can be used from ephypype and nipype
GridDyn is an open-source power transmission simulation software package
Python implementation of k-means clustering algorithm in MapReduce.
Matlab program for the analysis of Hadamard encoded multi-delay ASL for measurement of cerebral blood flow (CBF), arterial transit time (ATT), and cerebovascular reactivity (CVR).
Processing pipelines for the HCP
Slides and Code for Houston R Users Group Talk (9/5/2016)
Identifying different human activities using python.
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
Example of ICA
Extract structured data from PDF invoices
iTesla Power System Tools [email protected]
Iterative Refinement of the Approximate Posterior for Directed Belief Networks (http://arxiv.org/abs/1511.06382)
A Matlab toolbox for big data analysis, signal processing, mapping, and oceanographic applications.
Open Source Differentiable Computer Vision Library for PyTorch
A Software Framework for Neuromorphic Computing
Stand alone layer fMRI software that does not rely on other fMRI software packages with its own nii reader
Learn OpenCV : C++ and Python Examples
Automatically detect & remove vehicle license plates from images
Self-supervised Longitudinal Neighbourhood Embedding (LNE), Submitted to MICCAI2021
Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
MACS – a new SPM toolbox for model assessment, comparison and selection
Mathematics of Deep Learning, Courant Insititute, Spring 19
Ultrafast exhaustive epistasis scan for quantitative traits with covariate adjustment
McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
Code and model of article "End-to-end learning of brain tissue segmentation from imperfect labeling" https://arxiv.org/abs/1612.00940
Automated anatomical brain label/shape analysis software (+ website)
The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at