mbertani Goto Github PK
Name: Marco Bertani-Økland
Type: User
Company: EcoOnline
Bio: ^(self getSpaceTimeCurvature > 0.01) ifTrue: [self asMathematician] ifFalse: [self asMLEngineer]
Location: Oslo
Name: Marco Bertani-Økland
Type: User
Company: EcoOnline
Bio: ^(self getSpaceTimeCurvature > 0.01) ifTrue: [self asMathematician] ifFalse: [self asMLEngineer]
Location: Oslo
Material for ACM Python Tutorials, KAUST, 2015.
A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.
Cloud ML Engine is now a part of AI Platform
Interpreting Convolutional Neural Network (CNN) Results.
Example application code for the python architecture book
Intro to Conformal prediction
Code and assignment repository for the Imperial College Mathematics department Deep Learning course
docker images to play with stuff
Hands on workshop with ELK
Workshop providing an introduction to web-architecture through a step-by-step tutorial on how to make a full-stack web application with WebSockets. The domain is speedtesting – where Every Bit Matters.
Repo for GIAN fairness course
Code for the Workshop on Generative AI
Common solutions and tools developed by Google Cloud's Professional Services team
Configuration file and scripts for the i3-wm.
Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js
:bar_chart: Kibana analytics and search dashboard for Elasticsearch
An experiment to cut logs in preparation for processing elsewhere.
A Virutal Machine for Jason Brownlee's book on LSTM
Notebooks for the workshop om LSTM neural networks
A virtual machine Deep-learning-ready for the LSTM workshop
A booklet on machine learning systems design with exercises
An example of running NVidia Merlin on Google Cloud
Introduction workshop to ML
Practical Guide to Applied Conformal Prediction, published by Packt
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
Code bases, tutorials, posters, and other content for PyCon2016.
A workshop to learn how to create reproducible, clean and testable pipelines.
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
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.