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Algorithms used in Competitive Programming
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
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! π)
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, andΒ code
Code resources for Central London Data Science Project Nights 22nd meetup.
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Data and code behind the articles and graphics at FiveThirtyEight
code for Data Science From Scratch book
Deep Learning Specialization by Andrew Ng on Coursera.
Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Django Example
This tutorial shows you the basics of how to integrate Angular, React, Vue, or any other JavaScript front end you'd like.
ππ Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)
A container for Deep Learning with Python 3
Super easy library for BERT based NLP models
The fastai deep learning library, plus lessons and tutorials
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Simple Flask example using Docker to deploy on OpenShift 3.
greedy feature selection based on ROC AUC
πͺβKnock Knock: Get notified when your training ends with only two additional lines of code
Sample applications built using AWS' Amazon Machine Learning.
A booklet on machine learning systems design with exercises
Python code for common Machine Learning Algorithms
A collection of machine learning examples and tutorials.
Machine learning approach to classify music based on genres
This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.
Machine Learning automation and tracking
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.