ketalochiang Goto Github PK
Name: Ming-Ching Chiang
Type: User
Company: RIKEN BSI
Bio: Experimental neuroscientist who starts coding recently. Born in Taiwan, worked in Japan.
Location: Japan
Name: Ming-Ching Chiang
Type: User
Company: RIKEN BSI
Bio: Experimental neuroscientist who starts coding recently. Born in Taiwan, worked in Japan.
Location: Japan
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Bayesian Analysis with Python by Packt
Doing Bayesian statistics in Python!
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Code for a workshop on statistical interference using computational methods in Python.
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
1st Edition of Elegant SciPy (O'Reilly Publishers)
Example analyses making extensive use of nelpy.
Draft of the fastai book
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Neuroelectrophysiology object model and data analysis in Python.
NeuraPy is a collection of python modules useful for analyzing data obtained in neurophysiological experiments.
Frame work for analysis intra- and extra-cellular recordings.Spike sorting.
Material for the pandas tutorial at EuroScipy 2016
Python Enhancement Proposals
Python_practice
📚 A practical approach to machine learning.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Jupyter Notebooks for the Python Data Science Handbook
Tutorial: Bayesian Statistical Analysis in Python
Scikit-image tutorials
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.