All presented papers at ICLR (virtual-2020): iclr.cc/virtual_2020/p…

Week ⑪ videos 🎥 are up! 🎉 Lecture: youtu.be/bj1fh3BvqSU Practicum: youtu.be/VcrCr-KNBHc Transcript: bit.ly/pDL-en-11 Learn about: • all PyTorch activation and loss functions; • how to make predictions and training policies under uncertainty.

The Most Complete Guide to #PyTorch for Data Scientists - KDnuggets buff.ly/3cwg0EL

PyTorch 1.8 is here! Highlights include updates for compiler, code optimization, frontend APIs for scientific computing, large scale training for pipeline and model parallelism, and Mobile tutorials. Blog👇pytorch.org/blog/pytorch-1…

Introducing torch.profiler! New PyTorch Profiler collects both GPU and framework related info, correlates them, performs automatic detection of bottlenecks in the model, generates recommendations on how to resolve these bottlenecks, and visualize. Read 👉pytorch.org/blog/introduci…

Using PyTorch + NumPy? You're making a mistake. A bug that plagues thousands of open-source ML projects: tanelp.github.io/posts/a-bug-th…

TorchVision v0.9 has been released and is packed with many #ML models and features, speed improvements and bug fixes. Check out the overview of the new models here: pytorch.org/blog/ml-models…

#PyTorchConference is 18 days away! Join PyTorch co-creator Soumith Chintala, PyTorch Foundation Exec Dir Ibrahim Haddad and other ML experts live in-person on Dec 2 as they deliver technical talks & share posters. Seating is limited, apply now! pytorchconference22.splashthat.com

#TutorialTuesdays Training a nn.Transformer model in #pytorch

At the PyTorch Developer Conference 2022, join our PathAI team during their poster presentation on December 2nd to learn more about our work on interpretable models for #pathology. Read the full paper here: bit.ly/3FgpaFv

Language Translation #tutorials with #PyTorch

Quick intro to PyTorch 2.0, and its new features such as torch.compile, followed by finetuning a BERT model with PyTorch 2.0 and HuggingFace 🤗Transformers philschmid.de/getting-starte… #PyTorch

🔔 Our Next Live Q&A: How and why you should contribute to tutorials and code to PyTorch w/ Zain Rizvi, Shashank Prasanna, Svetlana Karslioglu and Carl Parker. 🗓️ December 15 @ 2pm PT Watch this talk in advance to learn more: youtube.com/watch?v=-UvX2_…

Why #PyTorch? 1. PyTorch feels more pythonic 2. Available models in PyTorch 3. PyTorch is better for students and research 4. PyTorch's ecosystem has grown faster

A nice tutorial video on using Optuna and PyTorch for auto-tuning hyperparameters: youtube.com/watch?v=P6NwZV… #DataScience #DeepLearning #MachineLearning

Speed-up in inference time for Stable Diffusion obtained by Lightning AI ⚡️ #deeplearning

#PyTorch quiz: calculating the cross-entropy loss of a 3-class problem assuming fully random prediction

Keypoint detection using PyTorch Lightning ⚡️Lightning AI ⚡️ ⚡️ and wandb (docs.wandb.ai) github.com/tlpss/keypoint… #PyTorch

Lightning 2.0 is out⚡️with an exciting Fabric for scaling up any PyTorch model

PyTorch 2.0 is now available, with new features like torch.compile(), faster and more pythonic than ever #PyTorch