mutual-ai Goto Github PK

alzheimers_diagnosis_stagedetermination

E6893 Final Project for ja3130, mn2769, and hz2441 (Project ID: 201712-18)

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

andysbrainbook

This repository contains the files that generate Andy's Brain Book on ReadTheDocs.

animal_detection_system

This is my Thesis. In this project we implemented and studied an Animal Detection System, aiming at both high detection accuracy and computational efficiency. Specifically, we propose a two-stage detection method. The reason we employ two machine learning algorithms is the reduction of the false-positive rate and the execution time required for the multi-scale detection procedure of an input image. In the first stage, we use the Histogram of Oriented Gradient (HOG) [1] descriptor and a Support Vector Machine (SVM) [2] classifier that provides the next stage with a set of regions of interest (ROI) containing target animals and other false positive targets. Subsequently, the second stage, rejects the false positive ROIs by using a Convolutional Neural Network (CNN) [3] classifier. To train and evaluate the animal detector, we use CIFAR-10 dataset [7]. The purpose of this method was to detect animals from images and videos captured in natural scenes. For our experiments we used deers as the animal of choice.

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

anticancer-peptides-cnn

Anticancer Peptide Identification employing Multi-headed Deep-CNN

aplore3

[R package]: Datasets from "Applied Logistic Regression" by Hosmer D.W., Lemeshow S. and Sturdivant X.

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of ML tutorials - initially created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by me.

asd-diagnet

asom

Automatic segmentation of mammographies in MatLab. Karssemeijer's patent implemented, specialized Hough, Canny, Sobel, Otsu, LSM and more.

astlinespec

Atomic Line Spectral Estimation Toolbox

authentication_based_on_retinal_images

This library was created for authentication purposes. OpenCV and Open MP libraries are used.

autism

Data Challenge on Autism Spectrum Disorder detection

auto_ml

Automated machine learning for analytics & production

autoencoder

Fundamentals of Statistical Learning Deep Autoencoder

autofocus-layer

Autofocus Layer for Semantic Segmentation

autokeras

This is an automated machine learning (AutoML) package.

automated-identification-of-features-in-eye-fundus-images

Implementation in MATLAB and OpenCV of the identification algorithm

av2

3D Image Analysis of Kinect range data

awesome

:sunglasses: Curated list of awesome lists

awesome-1

Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-awesomeness

A curated list of awesome awesomeness

awesome-bio-datasets

awesome-bio-datasets

awesome-bioinformatics

A curated list of awesome Bioinformatics libraries and software.

awesome-c

A curated list of awesome C frameworks, libraries and software.

awesome-cnn-android

Further experementing with convolutional neural networks on the android phone

awesome-community-detection

An awesome collection of community detection papers with implementations.