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This repository is related to the thesis paper titled as "ALzheimer's Disease & Dementia Detection From 3D Brain MRI Data Using Deep Convolutional Neural Networks." This thesis paper was accepted and published by IEEE's 3rd INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY ( I2CT), PUNE, INDIA - 6-8 APRIL, 2018.
Alzheimer's Disease Prediction by using ResNet, AlexNet
Apply deep learning on ADNI MRI for Alzheimer disease diagnostic.
A convolutional neural network that can predict Alzheimer from the MRI scans of patients.
A project undertaken as hobby project which aims at segmentation of Brain MRI scans
Research on Alzheimer's Disease Classification from MRIs
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration
This repo includes ChatGPT prompt curation to use ChatGPT better.
Code to analyses structural covariance brain networks using python.
Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Deep Learning Specialization by Andrew Ng on Coursera.
Code and Manuscript for the ECCV 4th Workshop on Computer Vision for Art Analysis "Deep Transfer Learning for Art Classification Problems" paper.
This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a toolkit to develop and compare reinforcement learning algorithms. The learning agent takes raw pixels from the atari emulator and predicts an action that is fed back into the emulator via OpenAI interface. The deep reinforcement learning network used in this project is Deep Q Network (DQN), it took over 10 million episodes to perfectly play and win the game.
Intermediate level git tutorial
Implementation of a 3D Convolutional Neutral Network in Keras on an Alzheimers Disease MRI Scan Dataset
Models and examples built with TensorFlow
Source code to accompany "A Deep Learning Model to Predict a Diagnosis of Alzheimer’s Disease Using 18F-FDG PET of the Brain"
Comprehensive Python Cheatsheet
Alzheimer's Classification Using Convolutional Neural Networks
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
deep learning, image retrieval, vision and language
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.