Name: Dale Smith
Type: User
Bio: Data Science | Machine Learning | C++ | Python | The better you are at what you do, your ability to communicate what you do gets worse. | Retired
Twitter: driverdaniel67
Blog: https://devmesh.intel.com/projects/transportation-object-detection
arduino
Arduino Work - Samples and Working Code
arpack-plusplus-for-osx
Install arpack++ for Armadillo on OS X El Capitan
audio-signal-processing-artificial-intelligence-project
Audio Signal Processing Artificial Intelligence Project
azimuth
Machine Learning-Based Predictive Modelling of CRISPR/Cas9 guide efficiency
bank-capital-models-talk
A talk I gave in 2013 on bank capital models and the bivariate normal probability integral.
bayesianoptimization
A Python implementation of global optimization with gaussian processes.
building-a-firewall
Building a Firewall on a Raspberry Pi
closer-look-list-comprehensions
A Closer Look at List Comprehensions in Python
configuration
My configuration information
cozmo
Cozmo scripts for fun and learning
cpp-job-interview
A C++ project I did as part of an interview
decisiontreesexplained
Visualizing Decision Trees
deep-learning
Experiments with neural networks and deep learning
dotfiles
:wrench: .files, including ~/.osx — sensible hacker defaults for OS X
dotfiles-git
$HOME in git via whitelisting. No symlinks, scripts, or dependencies, just git.
dtsmith2001.github.io
github.io page
gatlas
GPU Automatically Tuned Linear Algebra Software
genomicspapers
The Leek group guide to genomics papers
gitignore
A collection of useful .gitignore templates
gs-sample
Sample Teaching
hardnessmeasures
This is the code used to produce the hardness measures used from: Smith, Michael R. and Martinez, Tony. Improving Classification Accuracy by Identifying and Removing Instances that Should Be Misclassified. In Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2011), pages 2690 – 2697, August 2011.
hpc
High Performance Computing Explorations using PETSc and SLEPc
jupyter-themer
Apply custom CSS styling to your jupyter notebooks
jupyter-themes
Custom Jupyter Notebook Themes
ml-hierarchical-confusion-matrix
Neo: Hierarchical Confusion Matrix Visualization
modern-pandas
Source code for my collection of articles on using pandas.
ncbicomputationalcookbook
Jupyter notebooks to more effectively leverage computational resources at NCBI.
p-data-challenge
Data Challenge
parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
postlearn
Common post-estimation tasks for scikit-learn
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
