Yordan Zaykov at #PROBPROG: "https://t.co/LRWNa4ZHm8 is now open-source." That's incredible news for the probabilistic programming community! https://t.co/RWbWBttR7k
— Dustin Tran (@dustinvtran) October 5, 2018
Yordan Zaykov at #PROBPROG: "https://t.co/LRWNa4ZHm8 is now open-source." That's incredible news for the probabilistic programming community! https://t.co/RWbWBttR7k
— Dustin Tran (@dustinvtran) October 5, 2018
Colab keeps getting better and better. It changes everything.
— François Chollet (@fchollet) October 4, 2018
Released just 6 months ago! https://t.co/TnHnIx32jM
Thanks @Barzhini for talking to me about our newly released fastai v1 library for @PyTorch, on @ZDNet video. Includes a discussion of recent research from @mcleavey at @OpenAIhttps://t.co/in0rD38tkI
— Jeremy Howard (@jeremyphoward) October 4, 2018
IPython 7.0 Released - https://t.co/Io37Cqd3WL. Great new release with Aync support inside the REPL. One of the core features is the ability to (ab)use the async and await syntax available in Python 3.5+. More info here: https://t.co/jFCYBL1KVC
— Python Software (@ThePSF) October 4, 2018
I often get frustrated searching for the latest research results on Google and Arxiv so I wrote SOTAwhat, a script to query Arxiv for the latest abstracts and extract summaries from them.
— Chip Huyen (@chipro) October 4, 2018
Post: https://t.co/qWmeeuqnfm
Code: https://t.co/QO3iFKwkph
TPUs are now in early alpha on Colab! The linked example shows how to train a tf.keras model on a TPU, with a few lines of additional code. Appreciate the efforts to make this easy. It's a good sign. In the future, the easy way will be the fast way. https://t.co/WmZkVfFjBw
— Josh Gordon (@random_forests) October 4, 2018
Improved support for SQL in RStudio v1.2, including autocomplete
— RStudio (@rstudio) October 3, 2018
and direct query execution from SQL files: https://t.co/5dIGbE5Crj #rstats #sql pic.twitter.com/K4boTL3B9a
I'm extremely excited to officially announce our new library, GPyTorch, which has just gone beta! Scalable Gaussian processes in PyTorch, with strong GPU acceleration.
— Andrew Gordon Wilson (@andrewgwils) October 3, 2018
repo: https://t.co/5xr3DsIOoy
website: https://t.co/rXwlrpZ6UG pic.twitter.com/ONErdJLDDY
Google Cloud to support @PyTorch 1.0 on:
— hardmaru (@hardmaru) October 2, 2018
- Deep Learning VM Images
- Kubeflow
- TensorBoard integration
- Cloud TPUshttps://t.co/QAM8G1ANqX
GPyTorch for scalable Gaussian processes. Nice shoutout for the field of numerical linear algebra #PyTorch #conjugategradient #lanczosalgorithmhttps://t.co/hsjT0tEiUD pic.twitter.com/FiwuHMCQD2
— Rachel Thomas (@math_rachel) October 2, 2018
fastai v1, built on @PyTorch v1 is now live (https://t.co/vkcy1YFySh). Awesome work by @jeremyphoward and @GuggerSylvain! This is now the fastest way to fine-tune a language model. https://t.co/PtBH3HlOkG
— Sebastian Ruder (@seb_ruder) October 2, 2018
PyText will be open sourced by @fb_engineering later this month, allows rapid prototyping and production deployment of @PyTorch NLP models pic.twitter.com/OU2meSlN86
— Peter Skomoroch (@peteskomoroch) October 2, 2018