@open_ml

An open source collaborative machine learning platform. Let's explore machine learning better, together!

 The Future
openml.org
Joined January 2013
  • Tweets126
  • Following216
  • Followers2.3K
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AI made in 🇪🇺 OpenEuroLLM, the first family of open source Large Language Models covering all EU languages, has earned the first STEP Seal for its excellence. It brings together EU startups, research labs and supercomputing hosts to train AI on European supercomputers ↓
A stylised infinity symbol made up of small flags of various European countries, with a heart featuring the EU flag at the bottom center. Below, text reads "Bridging European languages with European AI." A small European Commission logo is in the bottom right corner.

ALT A stylised infinity symbol made up of small flags of various European countries, with a heart featuring the EU flag at the bottom center. Below, text reads "Bridging European languages with European AI." A small European Commission logo is in the bottom right corner.

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LLM course by Maxime Labonne
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2/ OpenML Just no words for this platform. I've been using this, and I just love it. All kinds of datasets, never going to let you down. Easy to download and use, anytime, anywhere. openml.org/s/88/data
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Can't believe I've only just realised that @scikit_learn has a function to import datasets directly from @open_ml. I will be using this a lot in my medium posts from now on! Had to share in case I am not the only one that doesn't know about this. #MachineLearning #DataScience
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You know what's cool? The @open_ml platform for datasets and automated evaluation. You know what's cooler? Citing them when you use datasets off their platform! We need efforts like this and it's the least we can do to support them.
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Several machine learning researchers have signed a statement regarding the upcoming launch of Nature Machine Intelligence. If you agree, I encourage you to sign this as well. openaccess.engineering.orego…
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Should scientists write/edit @Wikipedia entries about projects/topics/research they are involved in? 👩‍🔬
70%Yes
20%No
10%Don't know
30 votes • Final results
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8.5. at 6 p.m.: opening ceremony of the @lmu_osc. It's mission is to promote and to foster #OpenScience practices @LMU_Muenchen and beyond. 🤩👏
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Don't miss "Automating Machine Learning" a talk by @joavanschoren founder of @Open_ML April 19th buff.ly/2IxlcIa
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Earlier this month, we sponsored a weeklong series of hands-on #MachineLearning workshops at @Uporto Business School, and took the opportunity to join an @open_ml hackathon. Read all about it here: bit.ly/2HwCCYA
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iml, an R package for interpretable machine learning package is on CRAN! 🎉🎉🎉 Some notebooks / vignettes will follow soon, but there are already some examples in the README: github.com/christophM/iml
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Replying to @wimlds
Heidi Seibold @HeidiBaya works on @open_ml. openml.org
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Are you an open science, open source type of person? And do you want to know which machine learning algorithms will be the first to lose their jobs? Drop by April 19th for "Automating Machine Learning" a talk by @joavanschoren founder of @open_ml buff.ly/2Fz0dnt
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#Reproducibility in #AI is hard. @open_ml and @OpenAI Gym help a lot, yet more work lies ahead. We also need new incentives to encourage better, more reproducible studies. #OpenScience #MachineLearning sciencemag.org/news/2018/02/…
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No more excuses for opaque machine learning models! iml, the Interpretable Machine Learning package for R is out! 🎉🎉🎉 Featuring partial dependence plots, feature importance, LIME and more. Available on github and - soon - your favorite CRAN mirror! github.com/christophM/iml
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Just published 3 new #metalearning papers: metalearning for data streams (bit.ly/2Dog9Ls ), fast algorithm selection (bit.ly/2rkYmjm ), and #drugdiscovery (bit.ly/2DfVUw0). All data and reproducible experiments on @open_ml. #AutoML #Machinelearning
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Obligatory note: @open_ml is an excellent resource for benchmark datasets + benchmarking #MachineLearning algorithms + comparing to other algorithms on their web platform. AFAIK OpenML.org has all the datasets included in PMLB. xitter.cf/randal_olson/status/94…
Randy Olson
@randal_olson29 Dec 2017
PMLB v0.3 is out, now with 166 classification and 130 regression benchmark datasets included + curated. #Python #MachineLearning #DataScience github.com/EpistasisLab/penn…
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Check out the latest #FrictionlessData Case Study on #OpenML - by @joavanschoren & @HeidiBaya bit.ly/2kumtcF #machinelearning #opendata
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Our new #casestudy details why @open_ml, a platform dedicated to creating an open, online ecosystem for #machinelearning, is looking to integrate #frictionlessdata's #datapackage specification as an import and export option for data on the platform buff.ly/2AJ80Qy
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The first version of my online book on Interpretable Machine Learning is out! christophm.github.io/interpr… I am very excited to release it. It's a guide for making machine learning models explainable. #interpretableML #iml #ExplainableAI #xai #MachineLearning #DataScience
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