François Goupil

Fostering growth of scikit-learn #sklearn a worldwide used #opensource #machinelearning #python library. Working as an engineer at #INRIA

[François Goupil @FrancoisGoupix]

Very good news for scikit-learn and #machinelearning.
Glad that Yann have decided to put his talent and energy into this great mission of building data science commons within the prestigious research institute @Inria. I am super grateful to be learning from you in the future.

[Yann Lechelle @ylechelle]

From @Scaleway to Saclay @Inria, on a mission to distribute data science and common machine learning globally https://t.co/HTuwiBz4H3 #opensource #datascience #MachineLearning

[Yann Lechelle @ylechelle]

From @Scaleway to Saclay @Inria, on a mission to distribute data science and common machine learning globally https://t.co/HTuwiBz4H3 #opensource #datascience #MachineLearning

[merve @mervenoyann]

met friends from PyData & @scikit_learn @MarenWestermann @FrancoisGoupix

[Bénédicte Colnet @BenedicteColnet]

Marre des sempiternels graphiques qui distinguent la France des périphéries et des villes ?

Alors, sauriez-vous trouver ce qui sépare la France de l’Est et de l’Ouest sur cette carte ?

[scikit-learn @ La Fondation Inria @sklearn_inria]

Thank you @PyLadiesParis for the organization of these mentoring sessions into #opensource and @scikit_learn 🟠🔵.

Big up to all the new contributors we mentored!

Thanks to our hosts for these 4 sessions: @PyLadiesParis @huggingface @criteo @datacraft_paris

[scikit-learn @scikit_learn]

❄️ The Christmas release is out ❄️

🟢 4 major features & 11 features
🔵 5 efficiency improvements & 42 enhancements
🟡 15 API changes
🔴 33 fixes

You can upgrade with pip as usual:
pip install -U scikit-learn

Thanks again to all the contributors!

#scikitlearn #Python #oss

[Gael Varoquaux 🦋 @GaelVaroquaux]

⚡️Preprint: Why do tree-based models still outperform deep learning on tabular data?

We give solid evidence that, on tabular data, achieving good prediction is easier with tree methods than deep learning (even modern architectures) and explore why
https://t.co/qft4LgZm0z

1/9

[François Goupil @FrancoisGoupix]

What a wonderful team to work with!

This is the #opensource spirit. This is working with passionate people.

[scikit-learn @scikit_learn]

🤹 We just held our monthly developer meeting 🤹
Tim set the mood with his juggling skills as we were juggling with items and topics to discuss.

#opensourcesoftware #scikitlearn #python

[scikit-learn @scikit_learn]

🤹 We just held our monthly developer meeting 🤹
Tim set the mood with his juggling skills as we were juggling with items and topics to discuss.

#opensourcesoftware #scikitlearn #python

[Scaleway FR @Scaleway_fr]

Quels sont les bénéfices et limites de l’Open source as a service ? L’open-source peut-il être exploité comme service commercial ? @ylechelle en parle maintenant avec @poclain @scikit_learn @bluemind & @cleyrop, à @OSXP_Paris.

Plus d’infos: https://t.co/qOy5SERTwf

[François Goupil @FrancoisGoupix]

@FemmesSciences @sklearn_inria @jnbarrot @ReVe6el @Inria @scikit_learn @Economie_Gouv @Inria_Saclay Ce sont des combats qui prennent du temps et vous le savez bien (photo prise le jour même).

[scikit-learn @ La Fondation Inria @sklearn_inria]

The #French Minister for #Digital Transition @jnbarrot and @ReVe6el visited us today to showcase how @Inria and the @scikit_learn community are succeeding to build a widely used #OpenSource framework meeting industrial requirements. @Economie_Gouv @Inria_Saclay

[Gael Varoquaux 🦋 @GaelVaroquaux]

✨ #NeurIPS2022 paper: https://t.co/qft4LgZTQ7

An easily reusable benchmark that shows that deep learning underperforms tree-based models on typical tabular data.

A thread, situating the work given the feedback (including neurips reviews).
1/9

[Julien Jerphanion @jjerphan]

If you want to get involved in open-source or get 1:1 mentoring sessions with one of the @scikit_learn maintainers, join us on at this first event organised by @PyLadiesParis next Thursday at @huggingface 🤗 offices in Paris!

[Inria Academy @Inria_Academy]

🕵️‍♀️ Sondage @Inria_Academy sur les logiciels diffusés par @Inria et ses partenaires. @scikit_learn @CoqLang @PlantNetProject, @pharoproject et @SofaFramework arrivent dans le top 5 des logiciels les plus connus des entreprises !

Le sondage reste ouvert ➡️ https://t.co/P07xIPkha4

[Olivier Grisel @ogrisel]

Session #3 of our MOOC on Machine Learning in Python with scikit-learn starts today!

By following the MOOC through the FUN platform you can access the forum, do the quizzes for auto-evaluation and get an https://t.co/aev3yxH7Bf upon completion.

Join now! https://t.co/HFJ54Lui2C

[François Goupil @FrancoisGoupix]

Pretty natural when it comes to actors sharing the same open source DNA

[merve @mervenoyann]

We've joined forces with @scikit_learn to support statistical machine learning models on @huggingface Hub 🥳🧡💙 you can read more here about our work & our new library skops! https://t.co/Voekb0D5n0 @FrancoisGoupix @LysandreJik

[François Goupil @FrancoisGoupix]

We will have quality talks and speakers about "Data transformation" on November 8 and 9 at the Palais des Congrès, Paris. I will be delighted to meet you there.

Thanks to @OSXP_Paris and @ylechelle for your trust.

[Open Source Experience @OSXP_Paris]

🎙️Découvrez les #conférences "Data Transformation" avec François Goupil @scikit_learn, responsable de ce track➡️https://t.co/mzBkvDqLsB
Data transformation, ML/AI, web3, distribution, analytics... Venez écouter les experts #opensource à #OSXP2022 !
🎫https://t.co/7kAXrJ6rQK

[scikit-learn @ La Fondation Inria @sklearn_inria]

As part of its support to @scikit_learn, @huggingface is joining the scikit-learn consortium of sponsors.

Welcome to the Hugging Face team!

[Andreas Mueller @amuellerml]

Pandas DataFrame output is now available for all sklearn transformers (in dev)! https://t.co/o4qdahQpZC This will make running pipelines on dataframes soo much easier, and provides better ways to track feature names! thanks to @thomasjpfan @glemaitre58 and Christian Lorentzen!