Weβve just open-sourced AugLy, a new #Python library that will help AI researchers use data augmentations to evaluate and improve the robustness of their machine learning models. Read more: https://t.co/w1FBLKMUFh pic.twitter.com/Rqrd9f8JYJ
β Facebook AI (@facebookai) June 17, 2021
gghighlight 0.3.2 is on CRAN now!π I wrote a quick blog post to explain two new features, including the one used in the this π. #rstats
β Hiroaki Yutani (@yutannihilat_en) June 7, 2021
Wannabe Rstats-fu: gghighlight 0.3.2https://t.co/tFpR55jH6M pic.twitter.com/qoQ4neENwp
There are tons of things you can make with R Markdown at different points on the spectra of relevance and complexity. @seankross' postcards package aims to be high relevance and low complexity for students and folks new to R Markdown. https://t.co/ZHQLtYFjgj #cascadiaRconf
β Kara Woo (@kara_woo) June 5, 2021
Cloud TPU Virtual Machines finally released
β hardmaru (@hardmaru) June 2, 2021
These VMs run on TPU host machines that are directly attached to TPU accelerators, so everything feels like it's run locally.
The new πΉπΆπ―ππ½π library supports TensorFlow, PyTorch, JAX, and soon, Julia. π₯https://t.co/Yhatj1xaKz pic.twitter.com/N6u3ix0MI0
What gripes do you have with LaTeX's default, and what you always add to papers? Here are mine: 1. Cleveref. Don't use "Section \ref{sec:intro}". Use \Cref{sec:intro}. This makes writing less error prone and it makes "Section" part of the hyperlink! https://t.co/SbJkDXJwjK
β Dustin Tran (@dustinvtran) May 28, 2021
π² Introducing TensorFlow Decision Forests, a new library you can use to train popular models like Random Forests and Gradient Boosted Trees easily with Keras.
β TensorFlow (@TensorFlow) May 27, 2021
Learn more β https://t.co/corTG7WLDT pic.twitter.com/Ut26dl4bDX
ICYDK, @Gradio is a very neat Python SDK to create simple demos around ML models.
β Hugging Face (@huggingface) May 25, 2021
In Gradio 2.0, you can wrap any huggingface model into a demo interface in 1 line of code π₯
Read the tutorial from @abidlabs on our blog here β‘οΈ https://t.co/T5QBe9Znia pic.twitter.com/vHyc3b2ayf
This is a summary of easily available datasets for generalized DALLE-pytorch training. https://t.co/yFP083YnBt #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #pytorch
β PyTorch Best Practices (@PyTorchPractice) May 23, 2021
Check out Know Your Data, a tool built by the PAIR team at Google to help understand datasets, improve data quality and mitigate bias issues. Try it for yourself on 71 datasets in the @TensorFlow Datasets catalog. https://t.co/b2mnaSovzk pic.twitter.com/DnRPt0TBsL
β Google AI (@GoogleAI) May 21, 2021
Check out KELM, a method of converting knowledge graphs to synthetic natural language sentences, leveraging their factual nature in order to augment existing #NLP pre-training corpora. Learn more and access the corpora at β https://t.co/jbrDVHCgeF
β Google AI (@GoogleAI) May 20, 2021
π¦ I'm really enjoying reading through @DVCorg's documentation and use cases for operationalizing machine learning models.https://t.co/9k8tSfXbMK
β π©βπ» Paige Bailey @ 127.0.0.1 π‘ #BLM (@DynamicWebPaige) May 17, 2021
If you've ever tried to put a model in production, these concepts will resonate. Check out their open-source project on @Github! β¨ pic.twitter.com/zsSdlivwZk
π€ Transformers meets VISION πΈπΌοΈ
β Hugging Face (@huggingface) May 12, 2021
v4.6.0 is the first CV dedicated release!
- CLIP @OpenAI, Image-Text similarity or Zero-Shot Image classification
- ViT @GoogleAI, and
- DeiT @facebookai, SOTA Image Classification
Try ViT/DeiT on the hub (Mobile too!):https://t.co/swIGmI6G0d pic.twitter.com/nOs8PEfmzo
