mabrokma Goto Github PK

adabound

An optimizer that trains as fast as Adam and as good as SGD.

ai-training-examples

ailab

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

apexcalculus_source

Source files for the APEX Calculus text

arabicnlp

Python package for Arabic natural language processing

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

atlas

A space to log issues, updates, and software related to the ATLAS (Anatomical Tracings of Lesions After Stroke) database.

autonomous-fuzzy-quadcopter

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-matlab

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

awesome-rl

Reinforcement learning resources curated

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

big-data-bowl

Homepage for the National Football League's Big Data Bowl

bpl

Bayesian Program Learning model for one-shot learning

brain-tumor-segmentation-and-survival-prediction-using-deep-neural-networks

Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

brain-tumor-segmentation-in-tensorflow-2.0

Brain Tumor Segmentation dataset using TensorFlow

breastcancer_classification

Machine learning classifier for cancer tissues

calculus

calculus-1

a free and open-source calculus textbook

calculus-reader

Readable textbook for self-guided calculus

code_snippets

concrete-crack-detection

Crack detection for an autonomous UAV

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

crude-oil-price-forecasting-using-lstm

ct-to-synthetic-mri-generation

This repository collates the models I developed for my masters thesis. The purpose of this development was to develop models that could accurately produce an MRI from a CT scan for suspected stroke patients. MRIs have benefits over CTs: they have better soft tissue contrast and registration of brain scans is often done to an MRI atlas.

cvxpy

A Python-embedded modeling language for convex optimization problems.

data-x

This repository is for the Data-X project materials

deep-clustering

A Convolutional Neural Network based model for Unsupervised Learning

deep-fractional-bp-neural-networks

This is the code of the paper "Fractional-Order Deep Backpropagation Neural Network".

deep-learn-oil

Deep learning tools for predicting oil well data