rodrigogonzalez Goto Github PK
Name: Rodrigo Gonzalez
Type: User
Bio: Rodrigo brings a broad knowledge of technology, quantitative analysis, data science, deep learning, and feature engineering.
Location: Cambridge, MA
Name: Rodrigo Gonzalez
Type: User
Bio: Rodrigo brings a broad knowledge of technology, quantitative analysis, data science, deep learning, and feature engineering.
Location: Cambridge, MA
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.
The Leek group guide to data sharing
A seed project for making a data visualization platform
Google TensorFlow project for classification using images or video input.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
MIT Deep Learning Book in PDF format
Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS -
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A package dependency visualization using d3.js. Currently supports Composer for PHP.
Deep Learning GPU Training System
An object-oriented API for business analytics
Comparative Study of Deep Learning Software Frameworks
The Docker toolset to pack, ship, store, and deliver content
Kaggle Python docker image
The docs_genius package is a Python PyPI package designed to automatically improve and enforce PEP 257 docstring conventions within a Python codebase.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Build cross-platform desktop apps with JavaScript, HTML, and CSS
Distributed Deep learning with Keras & Spark
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Fast R-CNN
Example Inkling and Simulator files to find the center between two numbers.
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.