accelai Goto Github PK
Name: Accel.AI
Type: Organization
Location: Berkeley, CA
Blog: accel.ai
Name: Accel.AI
Type: Organization
Location: Berkeley, CA
Blog: accel.ai
Inactive - Full Site Build with LMS for accel.ai (archived website)
Landing Page
AI & Deep Learning Enthusiasts Meetup Project & Study Sessions
Mini-course for SCU Law
Guides for getting your machine set up with necessary software, programming languages, and scientific packages.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
detect demographic differences in the output of machine learning models or other assessments
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of deep learning resources for computer vision
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.
List of Computer Science courses with video lectures.
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.
Docker image for Accel.ai Workshops
Keras code and weights files for popular deep learning models.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Residual Learning for Image Recognition
Deep Learning API and Server in C++11 with Python bindings and support for Caffe and XGBoost
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS -
Deep Learning Tutorial notes and code. See the wiki for more info.
Deep learning in Python
Collection of Presentation materials from workshop on Nov 19pth-20th, 2016
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.