List your projects! #24

Open RaoOfPhysics opened 8 years ago

List your public projects (with link to GitHub / Bitbucket / GitLab) below so we have a list for contributors. Format:

- Name: 
- Description: [one not-too-long sentence] 
- Link to repo(s): 
- Skills needed / sought: 
- Additional info:

(N.B.: Do not use this issue for :+1: / +1 and similar comments. Use it exclusively to list your open-science projects.)

Name: ANA-Docker
Description: tutorial to setup Gitlab-CI at CERN, including a Dockerfile to create a useful container for analysis
Link: https://gitlab.cern.ch/sneubert/ANA-Docker
Skills sought: Docker foo
Additional info: The tutorial needs some feedback from people trying it out. The Container could be modularised.

Name: Continuous Analysis Template
Description: template to setup CERN analysis repositories with CI (using ANA-Docker)
Link: https://gitlab.cern.ch/sneubert/ContinuousAnalysisTemplate
Skills sought: feedback, jupyter
Additional info: The template and instructions need feedback and polishing. If someone wants to add a jupyter notebook example, this would be welcome

Name: CERN Open Data Portal
Description: An open platform to publish open data from CERN experiments
Link to repo(s): https://github.com/cernopendata/opendata.cern.ch
Skills needed / sought: feedback, input, ideas, data?
Additional info:
- this is a collaborative effort and we are eager to get feedback from others (i.e. potential users and contributors): what else to integrate? how to improve text, design/IA, tutorials?
- who is "we": a mixed team from CERN IT, Scientific Information Sevice and the LHC collaborations

Name: CERN Analysis Preservation
Description: A prototype service to preserve the insider knowledge about an analysis (data, software, docs), with easy open publishing options. Demo of latest prototype, concept and how it integrates with existing tools at CERN
Link to repo(s): https://github.com/cernanalysispreservation/analysis-preservation.cern.ch
Skills needed / sought: feedback, input
Additional info:
- this is a collaborative effort and we are eager to get feedback from others (i.e. potential users and contributors)
- who is "we": a mixed team from CERN IT, Scientific Information Sevice and the LHC collaborations

Name: senato.py
Description: A scraper for the data made available by the Italian Senate, and a cluster analysis to detect similar amendments.
Link to repo(s): https://github.com/jacquerie/senato.py
Skills needed / sought: Some coaching on text similarity (I'm just using Jaccard similarity).
Additional info:
- The Italian Senate is clogged by computer-generated amendments. This project aims to cluster similar amendments so that specific Senate procedures can be used to get rid of them in one sweep.
- This is more of an open-politics project rather than open-science, but here it goes : )

Name: Everpub
Description: :telescope: Everpub - Making reusability a first class citizen in the scientific workflow.
Link to repo(s): https://github.com/everpub
Skills needed / sought: docker, JS, python

Name: Everware
Description: Reproducible and reusable science powered by jupyterhub and docker. Like nbviewer, but executable.
Link to repo(s): https://github.com/everware
Skills needed / sought: python, unit testing, docker

Name: FlavourTransfer (working title)
Description: Apply arXiv:1409.7495 (transfer learning / domain adaptation) to LHC(b) data
Link to repo(s): pseyfert/transfer-learning
Skills sought: experience with BVLC/caffe or will to reimplement 1409.7495 in a different framework
Additional Info:
- Machine learning classifiers are often trained on simulated events and applied to real data. The authors of 1409.7495 deal with image recognition, trained with professional photos to be applied to low quality smartphone pictures. So … what they came up with should be applicable in physics.
- As alternative to porting the physics data to caffe, one could as well port the method by 1409.7495 to theano/sklearn/tmva/whatever-works

Name: CERN Container Service
Description: Scalable container clusters on the CERN cloud (docker swarm or kubernetes)
Link to repo(s): https://github.com/openstack/magnum
Skills needed / sought: python, docker, docker swarm, docker compose, kubernetes
Additional Info:
- cern specific documentation

Name: CrowdAI Knowledge Base
Description: An open access and community driven collection of resources to help everyone get started on state of art Machine Learning Resources on open problems in Science !!
Link to repo(s): https://github.com/crowdAI/Knowledge-Base
Skills Sought: Experience with Data Science and/or desire to teach and learn and/or knowledge about a bucket load of interesting open problems from your domain of expertise
Additional Info:
- http://crowdai.github.io/Knowledge-Base/

Name: tfdeploy
Description: Tool to deploy tensorflow DNN graphs for fast evaluation and export to tensorflow-less environments running numpy
Link to repo(s): https://github.com/riga/tfdeploy
Skills needed / sought: Experience with Deep learning techniques and performant numpy/scipy.

Name: luigi analysis workflow
Description: High-level extension layer for spotify's Luigi to enable advanced analysis workflows over distributes resources, so a WMS for end-user analysis =)
Link to repo(s): https://github.com/riga/law
Skills needed / sought: Experience with Python, Docker, GFAL & distributed computing
Additional Info: CHEP16 talk

Name: Distributed Keras (dist-keras)
Description: Employing Distributed Optimization algorithms and Apache Spark to train neural networks (Keras models).
Link to repo(s): https://github.com/cerndb/dist-keras
Skills needed / sought: Use-cases, "big" (physics) datasets, and models.

CERNStudyGroup / cernstudygroup.github.io