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Course materials for the Applied Data Science with Python specialization from the University of Michigan on Coursera
Code samples related to "Creating a Question and Answer Bot with Amazon Lex and Amazon Alexa", published on the AWS AI Blog. QnABot (pronounced “Q and A Bot”), uses Amazon Lex and Amazon Alexa to provide a conversational interface to your “Questions and Answers”, so users can just ask their questions and get quick and relevant answers.
Various AWS scripts to make things a little less painful
Convolutional Neural Networks for Sentence Classification in Keras
Repo for coursera specialization Applied Data Science with Python by University of Michigan
fast.ai Courses
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Residual Learning for Image Recognition
DeepVis Toolbox
This repository contains scripts shared during Deep Learning Challenge #1.
Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE
End-to-End Learning from Tesla Autopilot Driving Data
Blockchain PoC
The fast.ai deep learning library, lessons, and tutorials
Notes for Fastai Deep Learning Course - Part 1 v2
Solution Code to Full Stack Foundations (ud088)
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
A clear, concise, simple yet powerful and efficient API for deep learning.
How to Start a Startup (YC class)
This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera
An unofficial Kaggle datasets downloader
Image recognition training with TensorFlow Inception and transfer learning
SaaS Startup Checklist
The Startup Ideas course at Cornell Tech (TECH 5100)
Startup Metrics Dashboard - Product Marketing and Product Management. This is a 5-step model for creating a metrics framework for your business and customers, and how to apply it to your product and marketing efforts.
The Startup Studio program at Cornell Tech (CS 5999)
A deep Q learning demonstration using Google Tensorflow
Implement slightly different caffe-segnet in tensorflow
Manage complex tmux sessions easily
:computer: tmux session manager. built on libtmux
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.