gghighlight 0.4.0 is now on CRAN with this experimental feature! You can use `line_label_type` arg. The details can be found athttps://t.co/qonDNQ5gni #rstats https://t.co/OrtSjgUl5M
— Hiroaki Yutani (@yutannihilat_en) October 18, 2022
gghighlight 0.4.0 is now on CRAN with this experimental feature! You can use `line_label_type` arg. The details can be found athttps://t.co/qonDNQ5gni #rstats https://t.co/OrtSjgUl5M
— Hiroaki Yutani (@yutannihilat_en) October 18, 2022
Cloud TPUs are powerful hardware for building large models & have enabled many research successes. We enable scaling up PyTorch models to 10B+ parameters on Cloud TPU with a new Fully Sharded Data Parallel (FSDP) interface in PyTorch/XLA.
— PyTorch (@PyTorch) October 13, 2022
You can run BLOOM or OPT-176B in Transformers without a 🖥️supercomputer thanks to Accelerate, but how does it work exactly?
— Sylvain Gugger (@GuggerSylvain) September 27, 2022
New blog post that dives deep into the awesome PyTorch features we use for this (also see summary in thread🧵)https://t.co/6UyNJ5I7U9
A new version of the {gt} package has been released! 🎉
— Posit PBC (@posit_pbc) September 26, 2022
Version 0.7.0 has many new things for #rstats tables: export {gt} tables to Word docs, format vectors with vec_fmt_*(), enhance HTML accessibility, and more!
Learn about them in the blog post: https://t.co/WW2Ub6g9fv
fast-stable-diffusion colabs, +25% speed increase + memory efficient
— AK (@_akhaliq) September 26, 2022
github: https://t.co/QO7UFwqXjf
colab: https://t.co/b8JiLOhYmJ pic.twitter.com/1hKZW7B3IL
https://t.co/kGd50oUFR1: an open-source toolkit for animal pose tracking. Works with any type/number of animals. Published in Nature Methods. Seems highly useful both for academia and real-world deployment!
— François Chollet (@fchollet) September 21, 2022
Built with Python/TF/Keras. pic.twitter.com/pkgvYWyCUT
diffusion-ui-backend
— AK (@_akhaliq) September 20, 2022
The @Gradio interface provides an API to generate images with Stable Diffusion for:
- text-to-image
- image-to-image
- inpainting
github: https://t.co/zqAVKmGOHg
docs: https://t.co/G9VOuhT2vc
Stable Diffusion Image Variations by @Buntworthy with a @Gradio Demo in @GoogleColab
— AK (@_akhaliq) September 12, 2022
colab: https://t.co/gt1aJq63AA pic.twitter.com/7hGdkhDO7i
colab: https://t.co/VDRk57H3QU
— AK (@_akhaliq) September 4, 2022
stable_diffusion.openvino: Implementation of Text-To-Image generation using Stable Diffusion on Intel CPU by @bes_dev
— AK (@_akhaliq) August 28, 2022
github: https://t.co/aDLQKtK4hW pic.twitter.com/4JxJvP6gEJ
Stable Diffusion Tutorial: GUI, Better Results, Easy Setup, text2image and image2image
— AK (@_akhaliq) August 27, 2022
video: https://t.co/AkBEJfvtrw
github: https://t.co/X5APJg4QAV pic.twitter.com/hGacGDufaY
We release LLM.int8(), the first 8-bit inference method that saves 2x memory and does not degrade performance for 175B models by exploiting emergent properties. Read More:
— Tim Dettmers (@Tim_Dettmers) August 17, 2022
Paper: https://t.co/eNpinXS0Z5
Software: https://t.co/hBuVyQhLqS
Emergence: https://t.co/oPGRhACNEe pic.twitter.com/vNWxrDHlOh