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
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A list of keyboard shortcuts for the Atom text editor
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Interesting links & research papers related to Machine Learning applied to source code
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Lambda-ready port of purdy/aws-transcribe-transcript
Open source documentation of Microsoft Azure
CPU and GPU-accelerated Machine Learning Library
BigDL: Distributed Deep Learning Library for Apache Spark
A Theano framework for building and training neural networks
Book 1 -- Exercises for the book
BoxOffice predicts movie box office revenues of feature length films to identify stock market opportunities in media properties. The tool is based on critic reviews, film characteristics, production budget, and what studio and players are involved. Producing a movie is a highly risky endeavor and studios rely on only a handful of extremely expensive movies every year to make sure they remain profitable. Box office hits and misses correspond to short-term changes in stock prices.
Building detector algorithms from second SpaceNet Challenge
Caffe: a fast open framework for deep learning.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
CUDA miner project, compatible with most nvidia cards
Check if MkDocs is configured correctly
Churn prediction with a ride-sharing company in San Francisco.
Developer-friendly tools for using US Census Bureau data, including simple integrations to facilitate mash-ups with other open datasets.
Clean Architecture Example (Java): Example of what clean architecture would look like (in Java)
Clean Code Case Study
The following is a collection of models and deep learning tools used in object within images. The base system employs Tensorflow and Keras for model selection, training, and validation as well as pulls from a number of major python libraries to assist in object detection projects.
Repo for public conference talks
Cortex - Deep learning tools for neuroimaging
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Projections of COVID-19, in standardized format
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.