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Deep learning exercises for the course Capita Selecta in Medical Image Analysis
Classification of Breast Cancer diagnosis Using Support Vector Machines
Introduction to root_numpy, pandas, Keras in simple Deep Learning application at CERN
Distributed, fault tolerant batch processing for Natural Language Applications and Search, using remote partitioning
Obesity comorbitities analysis using PubMed database and python/pandas.
Containing codes for MPhil project of medical image classification and segmentation
Data analysis and visualisation of English GP-practices or educational purposes
Toying around with data about patients with diabetes and their readmission rates to the hospital.
Keynotes from Effective Python: 90 Specific Ways to Write Better Python (2nd Edition) (Effective Software Development Series)
Introduction to NumPy arrays
This is supplementary material for the manuscript: "Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network" M. Anthimopoulos, S. Christodoulidis, L. Ebner, A. Christe and S. Mougiakakou, IEEE Transactions on Medical Imaging (2016)
images_session6
Python module to perform under sampling and over sampling with various techniques.
Udacity Introduction to Data Science Course (using pandas & numpy)
Example code to train Convolutional Neural Networks using Lasagne (on MNIST)
Lecture notes and excercises for data analysis in python. Includes introduction to Python, Numpy, Scipy, Scikit-Learn, SimpleCV. Topics Supervised/Unsupervised Learning, Signal Analysis, Image Analysis, Text and Web-Media Analysis
python code for modules
This is for Intro to Machine Learning course, in Renmin University, Spring 2017.
Sample code for Numpy Introduction
Introduction to Numpy with jupyter notebooks
PHDS Medical Imaging
Prediction of Diabetes - PIMA Indian Diabetes dataset with DeepLearning
Use of support vector machine to clssify cancer data
Mining text data from PubMed
Mining and clustering research articles related to susceptibility weighted imaging and quantitative susceptibility mapping
Cheat Sheet generated in the Introduction to NumPy course
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.