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Name: Craig A
Type: User
Name: Craig A
Type: User
A curated list of awesome Deep Learning tutorials, projects and communities.
Data, code, and scripts for the analysis in the Mode blog.
A convolutional neural network from scratch
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
Covariance estimation library used in "Improved Estimation and Interpretation of Correlations in Neural Circuits."
Public facing notes page
Python script to load CSV to SQLite
High-level relational database interface for MATLAB
relational data pipelines for the science lab
The Leek group guide to data sharing
The ultimate reference guide to data wrangling with Python and R
Introduction to Deep Neural Networks with Keras and Tensorflow
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Toy project to create a simple working neural net in R
Readings in Data Science: theory and practice
TensorFlow tutorials and best practices.
Themes for ggplot2.
Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).
Fitting routines for moment-based estimation of a Generalized Quadratic Model (GQM)
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
From "Identifying functional bases for multidimensional neural computations"
Python module to perform under sampling and over sampling with various techniques.
iml: interpretable machine learning R package
Create Interpretable Machine Learning plots and analyse them in a interactive Shiny dashboard
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
A collection of IPython notebooks covering various topics.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code
R programming labs for the book Introduction to Statistical Learning
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.