📑 For anyone who is getting started with user experience or product management in the machine learning space: the PAIR guidebook is an excellent, open-source resource:https://t.co/Y9SEWhgmfW
— 👩💻 Paige Bailey @ 127.0.0.1 🏠 (@DynamicWebPaige) January 25, 2021
👥 Main ideas: interacting with users, asking the right questions, & defining metrics pic.twitter.com/qJk5UWjoxH
🔥 Coming soon to @spacy_io v3 and https://t.co/j3J6mQr8AN 🔥
— Ines Montani 〰️ (@_inesmontani) January 22, 2021
◾️ span categorizer component to predict labels for overlapping spans & phrases
◾️ annotation mode for overlapping spans
◾️ mix with classic NER or custom suggestion logic
◾️ efficient Doc.spans data structure pic.twitter.com/ZRTCRua9fJ
dplyr's killer app is that you can write code that generates SQL, so you don't have to switch your approach halfway through an analysis
— David Robinson (@drob) January 21, 2021
The siuba package brings this to Python! https://t.co/3egEb1b6QY@chowthedog #rstudioglobal pic.twitter.com/BYis4dkIiS
🔥We're launching the new https://t.co/FfMSiFcO73 and it's incredible
— Hugging Face (@huggingface) January 21, 2021
🚀Play live with +10 billion parameters models, deploy them instantly in production with our hosted API, join the 500 organizations using our hub to host/share models & datasets
And one more thing... 👇 pic.twitter.com/hTI1h5wNZI
Encoder-Decoder models are going long-range in 🤗Transformers!
— Hugging Face (@huggingface) January 13, 2021
We just released 🤗Transformers v4.2.0 with Longformer Encoder-Decoder (LED) for long-range summarization from @i_beltagy
Summarize up to 16K tokens with 🤗's pipeline or our inference API: https://t.co/xeykBhHvMU pic.twitter.com/q2sV35V1fS
Here's a boatload of model implementations for Deep Learning on Graphs https://t.co/KZVJ6wz76A @GraphDeep https://t.co/Ne2v3rNguI
— Alex Smola (@smolix) January 8, 2021
I'm starting to prepare for the release of rvest 1.0.0. It includes big improvements to text and table extraction, and a bunch of minor API improvements. If you're an rvest user, please try out the dev version and let me know how it goes: https://t.co/qgrtknYsIK #rstats
— Hadley Wickham (@hadleywickham) January 7, 2021
FairTorch secured the first place at the Summer Hackathon 2020 in the Responsible AI category. The tool allows you to add a fairness constraint to your model with a few lines of code, using the fairness criteria provided in the library. https://t.co/40svXCVOut
— PyTorch (@PyTorch) January 6, 2021
This is awesome! Jupyter Lab 3.0 is out! Lot's of cool new features and improvements. Can't wait to take it for a spin.https://t.co/RIl3A9xuQB#pythonprogramming #jupyter #datascience #machinelearning pic.twitter.com/2cck4Q3Q05
— Bojan Tunguz (@tunguz) January 5, 2021
Oooooh! Fancy new progress bars in #Python. #programming
— Randy Olson (@randal_olson) January 5, 2021
Repo: https://t.co/cAahpHTeNa pic.twitter.com/QzLWrKxHRu
[Release] TorchServe 0.3 includes new integrations for: Kubelow/KFServing, Captum for model interpretability, MLflow-torchserve plugin, Google Kubernetes and Azure Kubernetes Engine support, Native Windows support, gPRC interfaces for all APIs, and more. https://t.co/Do52ONJkFB
— PyTorch (@PyTorch) January 5, 2021
The right tools can make you much more productive. Some of the favorite OSS tools I discovered recently.
— Chip Huyen (@chipro) January 4, 2021
1. JAX
2. jupytext
3. Streamlit
4. excalidraw
5. Facets
6. D3
7. SHAP
8. Prefect
9. PyTorch Lightning
10. Prometheus pic.twitter.com/FJRpj3aRj5
