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Name: Vegard Fjellbo
Type: User
Company: Webstep
Bio: Mathematician (topologist) working as a Senior Consultant at the Insight & Analytics Dept of Webstep. Based in Oslo.
Location: Norway
Name: Vegard Fjellbo
Type: User
Company: Webstep
Bio: Mathematician (topologist) working as a Senior Consultant at the Insight & Analytics Dept of Webstep. Based in Oslo.
Location: Norway
Supply chain delivery network simulation in Akka
A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
A curated list of topological data analysis (TDA) resources and links.
Basic Applied Topology Subprograms
A Spark implementation of a distributed seed and reduce algorithm
A monadic library to resolve object relations with the aim of avoiding the N+1 query problem.
Cassovary is a simple big graph processing library for the JVM
Advanced Topics in Scientific Computing with Julia
Code that was used as an example during the Data+AI Summit 2020
Problems 1-5
Motivates the comonad data structure using Conway's Game of Life
A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)
Worked examples about manifold learning using sklearn and jupyter
Generalized recursion schemes and traversals for Scala.
Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia
Joint work with prof. John Rognes (University of Oslo). In nsset-htythy I establish non-singular simplicial sets as a cofibrantly generated model category, which is Quillen equivalent to simplicial sets with the standard structure due to Quillen. In order to do that, I need the result of nsset-exponentials.
A counting problem related to https://arxiv.org/abs/1406.6175
My phd thesis in Mathematics. Submitted in 2017 and defended at the University of Oslo in 2018.
Experiments with PM4py, the python library for process mining.
my Project Euler solutions in Scala
CHomP (Computational Homology Project) with Python bindings
Rust Axum Full Course code.
In-memory distributed graph processing of trivially parallelizable graph algorithms.
Code examples for the presentation at Scalar Conference 2019
Tutorial Sessions for SciPy Con 2019
Full stack solution using Javascript, Azure Static Web Apps, Azure Function, Azure SQL Database and a microservice architecture to monitor in real-time public transportation data, create a geofence and send notification when geofence is activated
Reactive Intent Recognition Engine
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.