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adop-docker-compose

Talk to us on Gitter: https://gitter.im/Accenture/ADOP

aima-data

Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-javascript

Javascript visualization (and implementation) of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algorithmssedgewick

Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).

amia-2015-using-r-for-healthcare-data-science

All source code and materials for the AMIA 2015 Tutorial on Using R for Healthcare Data Science co-taught by Vojtech Huser and Laura Wiley

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers

awesome-courses

List of awesome university courses for learning Computer Science!

awesome-r

A curated list of awesome R packages, frameworks and software.

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

coursera-sdn

SDN Coursera Coursework

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs244-15-the-intuition-behind-why-a-randomly-networked-data-center-works

cuda-gdb

CUDA GDB

cuda-gpu-reconstplateau-wavelets

Parallel programming on multicore GPU clusters using CUDA framewrok. Design and implementation of a predictive model based in wavelets. High resolution spatial-temporal rainfall estimation from NDVI using wavelets on plateau.

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datalab

datascience

It consists of examples, assignments discussed in data science course at algorithmica.

digits

Deep Learning GPU Training System

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

edgecloudsim

EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems

enron_dataset

Final Project for Udacity Machine Learning Course

epiforecast-r

R package to implement and visualize several epidemiological forecasting methods.

esdm

Middleware for Earth System Data

etri-sdn

Automatically exported from code.google.com/p/etri-sdn

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

felzenszwalb-segmentation

An easy-to-use Matlab wrapper around the original felzenszwalb segmentation code