David

Officially educated astrophysicist, now belonging to the data/ml/software tribe

[Argilla @argilla_io]

🗂️ Multi-label text classification weak labeling

Get started with this brand new feature with this tutorial by @vid_algo

https://t.co/NwaSvGykJF

#python #opensource #datacentricai

[Argilla @argilla_io]

🎉Today we crossed 900 stars on GitHub 🌟

If you don't know Rubrix yet 👉🏽 https://t.co/ReXgN3Chsu

Thanks everyone for your support!

We're just getting started.

Follow us @rubrixml

#Python #opensource #NLProc

[Argilla @argilla_io]

Training a Hugging Face text classifier directly from search queries?

User Weasel & Rubrix 👉

https://t.co/7jP7RuhQgy

Weasel: End-to-End weak supervision by @CachaySalva & @BenBoecking:
https://t.co/PoJofSy0Ns

Rubrix:
https://t.co/ReXgN3Chsu

#nlproc #python #opensource

[Argilla @argilla_io]

🚀 Introducing Rubrix Weak Labeling 🚀

⚡️ Supercharge your NLP data annotation with interactive weak supervision

👩‍🔬 Leverage the latest weak supervision methods

👩‍🏭 Production-ready and open-source

https://t.co/zCu1InHExz

#nlproc #datacentricAI #opensource #python

[Argilla @argilla_io]

What is a text2text model?

In simple words: a model which given a text returns another text

Text summarization is one of such models

This is how to use the scitldr, summarization dataset by @allen_ai 👇

More task examples:
https://t.co/Kzp9BZIMfB

#nlproc #python #opensource

[David @vid_algo]

Yes, finally, a new episode, super interesting and very insightful, like always. And the ambient sound and Keith's soothing voice are the ASMR of ML!

[Machine Learning Street Talk @MLStreetTalk]

Epic new show out with @ylecun and @randall_balestr where we discuss their recent everything is extrapolation paper, interpolation and the curse of dimensionality, and also dig deep into Randall's work on the spline theory of deep learning. @DoctorDuggar @ecsquendor @ykilcher

[Daniel Vila Suero @dvilasuero]

The recent push_to_hub feature of the @huggingface datasets library is 🔥🔥🔥

This is how easy is to share a custom @rubrixml dataset with your own annotations

The result:
https://t.co/h6mLwN4oOq

Congrats @qlhoest, @avillanovamoral and team!

[Argilla @argilla_io]

A simple active learning loop with the amazing ModAL library

Active learning for YT spam classification inside a Jupyter notebook, a tutorial by @vid_algo

https://t.co/GAbzY8ezh3

Rubrix: https://t.co/ReXgN3Chsu
ModAL: https://t.co/sVmygmRVa6

#nlproc #python #opensource

[Argilla @argilla_io]

Fine-tune a Hugging Face transformers for your own domain

Iteratively build a training set and fine-tune a sentiment classifier for the banking domain

Tutorial by @dvilasuero

https://t.co/UbCHBM7EOo

#NLProc #python #opensource

[Argilla @argilla_io]

Finding and 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝗻𝗴 label errors

1⃣ Train a text classifier, predict over the test set

2⃣ Find label errors with the built-in cleanlab integration

3⃣ Correct errors with the UI

Practical tutorial by @vid_algo

https://t.co/q54nCKBwhq

#nlproc #opensource #ml

[Argilla @argilla_io]

Building a text classifier with Flyingsquid it's never been easier

Flyingsquid is a label model for fast and accurate weak supervision

Weak supervision guide:
https://t.co/NH3uCOZs2e

Flyingsquid: https://t.co/pfSemZWcy5

Rubrix:
https://t.co/ReXgN3Chsu

#nlproc #opensource #ml

[Argilla @argilla_io]

Find label errors using your model's loss

Practical example finding 100s of label errors in the AGNews benchmark

Uploaded the dataset with losses to the @huggingface Hub

https://t.co/nxv5hvasQw

More at https://t.co/ReXgN3Chsu

#nlproc #datacentricAI #python #opensource

[Argilla @argilla_io]

You can now install @rubrixml with conda 🚀

Thanks @sugatoray for the awesome work!

More details at https://t.co/ReXgN3Chsu

#nlproc #python #opensource

[Argilla @argilla_io]

https://t.co/uhtPPgNkV7

[Argilla @argilla_io]

Rubrix auto-monitor now supports FlairNLP

Easily register NER predictions for pre-annotation, error analysis, fine-grained metrics and production monitoring

Available at https://t.co/ReXgN3Chsu

Find more details and guides bellow 👇

#nlproc #mlops #python #opensource

[Argilla @argilla_io]

Training a text classifier without labelled data using @PyTorch

End-to-end weak supervision with Weasel & @huggingface transformers

Guide and more details below 👇

#nlproc #datascience #python #opensource

[Argilla @argilla_io]

Build a news classifier from scratch with weak supervision

1. Programatically label 38.000 examples with rules and Snorkel.

2. Train a downstream classifier with scikit-learn to achieve 0.81 macro avg. f1-score.

Tutorial link below 👇
#nlproc #ml #datascience #opensource

[NLP Spain @NlpSpain]

El lunes @dvilasuero nos enseñó @rubrixml una herramienta opensource que ayuda en la creación de conjuntos de datos. Si te perdiste la charla puedes verla aquí:

https://t.co/CjLCpnbznn

Puedes contribuir al proyecto por cualquiera de los diferentes canales que tienen disponible

[Daniel Vila Suero @dvilasuero]

Rubrix: Python framework for data-centric NLP

Monitoring pipelines & predictions just got easier

Supports Hugging Face text/zero-shot classification pipelines & spaCy NER

https://t.co/DOrtloiBfH

Guide: https://t.co/KFT7AA1rnP

#MLOps #python #opensource #nlproc #datascience

[Argilla @argilla_io]

📢 Científic@ de datos, lingüista, expert@ de producto y desarrollador@:

¡Esta charla gratuita de @NlpSpain es para tí!

3 días para que @dvilasuero nos presente @rubrixml y cómo crear, gestionar y cuidar tus datos de entrenamiento para PLN

#python #pln #ia #opensource