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Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

Jupyter Notebook 346 107 Updated May 28, 2016

A python tutorial on bayesian modeling techniques (PyMC3)

Jupyter Notebook 1,572 188 Updated Aug 6, 2016

DBSCAN clustering algorithm on top of Apache Spark

HTML 91 57 Updated Nov 16, 2015

An implementation of DBSCAN runing on top of Apache Spark

Scala 35 12 Updated Jun 14, 2016

(R package) Analyze High-Dimensional Data Using Discrete Morse Theory

HTML 28 4 Updated Jun 11, 2016

Implementation of Mapper algorithm for Topological Data Analysis

JavaScript 20 2 Updated Jun 20, 2016

KeplerMapper is a Python class for visualization of high-dimensional data and 3-D point cloud data.

Python 94 31 Updated Nov 15, 2015

Stock options, RSUs, taxes — a guide for humans

4,895 228 Updated Jan 19, 2017

Input-aware cuBLAS/clBLAS implementation for better performance

C++ 43 10 Updated Jan 20, 2017

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 ;)

Jupyter Notebook 11,176 3,219 Updated Jan 19, 2017

An image processing library written entirely in JavaScript for Node, with zero external or native dependencies.

JavaScript 1,837 139 Updated Jan 20, 2017

Simple tutorials using Google's TensorFlow Framework

Jupyter Notebook 3,089 808 Updated Jan 20, 2017

Computation using data flow graphs for scalable machine learning

C++ 43,602 20,293 Updated Jan 21, 2017

Efficiently computes derivatives of numpy code.

Python 1,253 162 Updated Jan 18, 2017

This is a Experimental version of OpenCL by AMD Research, we now recommend you to use The official BVLC Caffe OpenCL branch is over at Caffe branch now at https://github.com/BVLC/caffe/tree/opencl

C++ 332 105 Updated Dec 14, 2016

A powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.

MoonScript 105 50 Updated May 7, 2016

The Arcade Learning Environment (ALE) -- a platform for AI research.

C++ 334 119 Updated Oct 2, 2016

OpenCL library to train deep convolutional neural networks

C++ 485 132 Updated Dec 1, 2016

High performance <canvas> rendering for React components

JavaScript 9,569 785 Updated Jan 21, 2017

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

Python 1,055 428 Updated Dec 7, 2015

Sass makes CSS fun again.

Ruby 9,201 1,730 Updated Jan 14, 2017

Framework for experimenting with Recurrent Neural Network architectures, such as (simple, fully connected) RNNs, (Projected) Long Short-Term Memory networks, etc.

Python 7 1 Updated Oct 5, 2015

Scikit-Learn tutorial material for Scipy 2015

Python 441 253 Updated Sep 7, 2015