PyTorch

Learn how to automate most of the infrastructure work required to deploy PyTorch models in production using Cortex, an open source tool for deploying models as APIs on AWS. https://medium.com/pytorch/how-to-build-production-software-with-pytorch-9a8725382f2a …pic.twitter.com/Zz6uLqH5CU

TorchIO from @fepegar_ brings tools for - patch-based training and inference of 3D medical images - multiple transforms for data augmentation used in medical imaging He's looking for contributions and feedback https://github.com/fepegar/torchio pic.twitter.com/KohUPo8duW

We are holding an informal PyTorch meetup for @NeurIPSConf attendees on this Thursday (Dec 12) from 3:05 PM to 3:50 PM PT (a long coffee break). Meet us at West Level 2 next to rooms 220-222 in the hallway area.pic.twitter.com/WN3UMgmSuZ

If you are at @NeurIPSConf, visit the PyTorch team at East Exhibition Hall A Booth 509. At 4:45 PM PT today, we’ll be walking through a demo of PyTorch running fast neural style transfer on a Cloud TPU. If you can’t join us in-person, check out: https://colab.research.google.com/github/pytorch/xla/blob/master/contrib/colab/style_transfer_inference-xrt-1-15.ipynb …pic.twitter.com/25smCNudUO

3-Step Transfer Learning using @huggingface Transformers and @PyTorchLightnin training framework. A step-by-step post by @_willfalcon https://towardsdatascience.com/lit-bert-nlp-transfer-learning-in-3-steps-272a866570db …pic.twitter.com/Quz9MOKHYK

To help developers get started with PyTorch, we’re making the 'Deep Learning with PyTorch' book, written by Luca Antiga and Eli Stevens, available for free to the community: https://pytorch.org/deep-learning-with-pytorch …pic.twitter.com/H7QC3KiOkc

Thank you to everyone who joined us for the PyTorch Developer Conference today both in San Francisco and via livestream around the world! #PTDC2019pic.twitter.com/B8LGHLtAqu

PyTorch Cloud TPU and TPU pod support is now in general availability on @GCPcloud You can also try it right now on Colab, for free at https://github.com/pytorch/xla/tree/master/contrib/colab …pic.twitter.com/MsyfLDnwrK

The livestream for the PyTorch Developer Conference is back. We're picking up from the New Libraries and Tools session and will be streaming all subsequent sessions from the agenda. Watch here: http://bit.ly/2M5mEq8 pic.twitter.com/TKIF77rFCW

The 2019 PyTorch Developer Conference is about to kick off. We’ll be streaming the full day of talks, including the keynote, sessions, and panel starting at 9:25 AM PT. Watch here: http://bit.ly/2MpPZug  #PTDC19pic.twitter.com/78r7OowCRZ

We're excited to host the second annual PyTorch Developer Conference, featuring talks, discussions and posters from the core-devs, ecosystem, and industry. Date: Oct 10th, 2019 in San Francisco. Space is limited, apply for an invite at https://pytorch.fbreg.com pic.twitter.com/7G2IV2PBUB

Are you an artist who uses @runwayml ? You can now trivially wrap PyTorch models in Runway pipelines. This post by @c_valenzuelab takes you through it: https://buff.ly/2zFv68n pic.twitter.com/s0nyRR0mjH

A great series of blog posts on the PyTorch C++ frontend by @kushashwa covering training and transfer learning, all in C++ #pytorchessentials https://krshrimali.github.io/Announcing-PyTorch-CPP-Series/ …pic.twitter.com/adyrvlJyYI

The Global PyTorch Summer Hackathon is here! Calling developers and researchers to hack together packages, demos and applications on top of PyTorch and submit online. We'll help you reach the community, amplify your vision and have $60K in prizes! https://pytorch.devpost.com  #PTSH19pic.twitter.com/T5IeYMeiAX

OpenKiwi is a framework for Machine Translation Quality Estimation from @Unbabel It just won the Best Demo Paper award at @ACL2019_Italy , congrats to the team! Blog Post: https://unbabel.com/blog/open-source-machine-translation-quality-estimation/ … Get Started: https://unbabel.github.io/OpenKiwi/ pic.twitter.com/bwVwsZNexz

Selene is a deep learning library for biological sequences such as DNA, RNA or protein sequences and their measured properties Kathleen Chen, @evan_cofer, @OlgaTroyanskaya and team have published it to Nature Methods https://www.nature.com/articles/s41592-019-0360-8 … Get Started: https://github.com/FunctionLab/selene/blob/master/tutorials/getting_started_with_selene/getting_started_with_selene.ipynb …pic.twitter.com/WxoeM0vcIe

.@Mapillary does Seamless Scene Segmentation and 3D fusion across 600m+ images A [post + code release] with tips for: - dealing with asymmetric graphs, variable-length images and unbalanced batches - in-place batchnorm - distributed training https://pytorch.org/blog/mapillary-research/ …pic.twitter.com/dmVo4qbaFG

Discovering good libraries and code might be overwhelming. - our Ecosystem page has been curating high quality libraries - Hub has been curating models that reproduce research and are easy to use Read more about our recent additions and guidelines: https://pytorch.org/blog/pytorch-ecosystem/ …pic.twitter.com/oETW02dQ6y

PyTorch Hub: reducing the friction in reproducing and building-upon research - Pull models with 1 line of code, and a few more to use - Curated models. Open with Google Colab and @paperswithcode - Publish your models by sending a PR Blog: https://pytorch.org/blog/towards-reproducible-research-with-pytorch-hub/ … #ICML2019pic.twitter.com/9QiK6fxA4h

torchvision 0.3.0: segmentation, detection models, new datasets, C++/CUDA operators Blog with link to tutorial, release notes: https://pytorch.org/blog/torchvision03/ … Install commands have changed, use the selector on https://pytorch.org pic.twitter.com/Ljt7rSymno