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Effective URL: https://renkulab.io/
Submission: On May 21 via api from CH — Scanned from CH
Effective URL: https://renkulab.io/
Submission: On May 21 via api from CH — Scanned from CH
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You need to enable JavaScript to run this app. Sessions Help Login * Renku Docs * Renku CLI Docs * -------------------------------------------------------------------------------- * Forum * Gitter * GitHub * Sessions * Help CONNECTING THE RESEARCH ECOSYSTEM THE RESEARCH ECOSYSTEM IS FRAGMENTED. RENKU IS WHERE IT COMES TOGETHER. Data, Code, and Compute all under one roof. Try it outCreate an account RENKU IS OPEN SOURCE AND FREE TO USE! Start Renku-demo-project-machine-learning bethcg/renku-demo-project-machine-learning BethCG This project illustrates Renku features on code versioning, datasets and workflows in a machine learning project. #machine learning#regression#renku#wine quality projectProject Public Created 6 months ago GET STARTED ON RENKULAB NOW WITH OUR FREE TIER. RUN COMPUTE SESSIONS WITH UP TO 2 CPU AND 8 GB RAM. Want more? We offer more resources for researchers and instructors. Contact us to learn more. Contact Us Prefer to work from the comfort of your local environment? Try out the Renku CLI. pipx install renkuCopy to clipboard Read the documentation SHARE YOUR WHOLE PROJECT, NOT JUST YOUR CODE A Renku project brings together your code, data, environment, and workflows. Explore a project START A COMPUTE SESSION IN YOUR FAVORITE ENVIRONMENT WITH ONE CLICK All you need to run a RenkuLab project is a browser! Choose from our curated compute environments to get started quickly. We take care of containerization for you. Try out a session ONE PROJECT, MANY COMPUTE OPTIONS Scaling up your project is as simple as switching your session resource class- everything else about your project stays the same. No need to keep multiple compute environments in sync to scale up. Try out a session Want to take your Renku project to the next level?Contact us about larger compute resources on RenkuLab CONNECT FROM ANYWHERE Connect to RenkuLab sessions from the comfort of your local terminal or favorite IDE. Or, run your Renku project locally without RenkuLab at all. Try out the Renku CLI pipx install renkuCopy to clipboard Learn more about SSH Sessions on RenkuLab Learn more about running Renku sessions locally wine-quality wine-quality BethCG Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests (see [Cortez et al., 2009](http://www3.dsi.uminho.pt/pcortez/wine/)). #Portugal#red wine#white vinho verde#wine sample datasetDataset Public Created 6 months ago PLUG AND PLAY DATASETS Give your dataset a home. Package it with metadata and import it in to other projects. Share it with collaborators, and trace how your dataset gets used down the line. Explore datasets Learn more about Renku Datasets KEEP TRACK OF HOW CODE AND DATA CONNECT Use the simple Renku workflow file to organize your data processing pipeline. Easily rerun your whole workflow, or just specific steps. Check out workflows Learn more about Renku Workflows on RenkuLab EXPLORE AND CONNECT Our Renku search page allows researchers and project managers to find resources through projects and datasets. RENKU REAL-WORLD USE CASES: CONDUCTED BY SDSC AND ETH DOMAIN The case studies presented here bridge the gap from domain to data science. Renku provides a platform where experts from both sides can come together to share data and collaborate on its analysis. OADAT-EVALUATE This project provides a multitude of tools around the neural network experiments presented in Firat Ozdemir, Berkan Lafci, Xosé Luís Deán-Ben, Daniel Razansky, and Fernando Perez-Cruz. OADAT: Experimental and synthetic clinical optoacoustic data for standardized image processing. Open ADORE: A BENCHMARK DATASET FOR MACHINE LEARNING IN ECOTOXICOLOGY The ADORE dataset was created as part of the SDSC project "MLTox: Enhancing Toxicological Testing through Machine Learning". This repository contains the benchmark dataset as well as the code to generate it from raw data. Open KG-FRUS: A NOVEL GRAPH-BASED DATASET OF 127 YEARS OF US DIPLOMATIC RELATIONS In the current repository, we provide the final files that form the dataset presented in the paper, and the plots contained. Besides, we provide all intermediate results, and details on how these are obtained, and how they are used to construct the dataset. Open COMPUTING COURSES WITHOUT THE HASSLE Teachers Renkulab! Get your students the compute environment they need from day 1.All they need is a browser! Learn More BUILT BY DATA SCIENTISTS, FOR DATA SCIENTISTS. Renku is built by the Swiss Data Science Center with funding from the ETH domain. Our goal is to provide data and domain scientists with the tools they need to work, collaborate and share their research. Developed with at ETH Zurich and EPFL with contributions from our fantastic community. Email us! Go to the Github repository Turnerstrasse 1, 8092 Zürich +41 44 632 80 74 INN Building, Station 14, 1015 Lausanne +41 21 693 43 88 LEARN * Documentation * Get Started * Help COMMUNITY * Forum * Chat (Gitter) * GitHub FOLLOW US * Renku blog * YouTube * Mastodon ABOUT * Renku version * Why Renku? * Who we are? © SDSC 2024 0.51.1 Renku License