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This is the curriculum for the "AI for Business" Course By Siraj Raval on Youtube
This is the code for "AI for Healthcare" By Siraj Raval on Youtube
The aim of this kernel is to develop a robust deep learning model which classifies whether a chest X- ray image proves pneumonia or not. Finally the network classifies successfully the 87% of the test data. Chest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzhou Women and Children’s Medical Center, Guangzhou. All chest X-ray imaging was performed as part of patients’ routine clinical care.
Automated methods to detect and classify human diseases from medical images, using Deep Neural Networks
A simple binary classifier to predict if the given image is a cat or a dog.
Code Snippets Repository for all my Content
ColorHighlighter - is a plugin for the Sublime text 2 and 3, which underlays selected hexadecimal colorcodes (like "#FFFFFF", "rgb(255,255,255)", "white", etc.) with their real color. Also, plugin adds color picker to easily modify colors. Documentation: https://monnoroch.github.io/ColorHighlighter.
Course Files for Complete Python 3 Bootcamp Course on Udemy
The Python programming language
A Keras implemention of DenseNet, will be further be modified to classify medical images.
Excerpt from the Gapminder data, as an R data package and in plain text delimited form
Topic Modelling for Humans
A collection of various notebook extensions for Jupyter
Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its further growth. MRI (Magnetic Resonance Imaging) is a medical imaging technique used by radiologists to study and analyse medical images. Doing critical analysis manually can create unnecessary delay and also the accuracy for the same will be very less due to human errors. The main objective of this project is to apply machine learning techniques to make systems capable enough to perform such critical analysis faster with higher accuracy and efficiency levels. This research work is been done on te existing architecture of convolution neural network which can identify the tumour from MRI image. The Convolution Neural Network was implemented using Keras and TensorFlow, accelerated by NVIDIA Tesla K40 GPU. Using REMBRANDT as the dataset for implementation, the Classification accuracy accuired for AlexNet and ZFNet are 63.56% and 84.42% respectively.
Python utilities to download and parse the MNIST dataset
requests/beautiful soup based one time web scrapers
A simple, yet elegant, HTTP library.
scikit-learn: machine learning in Python
Solidity, the Smart Contract Programming 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.