Learn PyTorch
@learnpytorch
Tutorial and examples for PyTorch
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PyTorch 2.0 is now available, with new features like torch.compile(), faster and more pythonic than ever #PyTorch
Lightning 2.0 is out⚡️with an exciting Fabric for scaling up any PyTorch model
With the help of our community, we are excited to announce PyTorch Lightning 2.0🎉🎉 Install now 👉lnkd.in/gYtwmJJU Highlights Include: ⚡️ Commitment to backward compatibility in the 2.0 series ⚡️Simplified abstraction layers, removed legacy functionality, integrations…
Keypoint detection using PyTorch Lightning ⚡️@LightningAI ⚡️ and wandb (docs.wandb.ai) github.com/tlpss/keypoint… #PyTorch
#PyTorch quiz: calculating the cross-entropy loss of a 3-class problem assuming fully random prediction
⚡️POP QUIZ TIME!⚡️ Suppose you have 2 training examples in a 3-class classification setting. What is the cross-entropy loss for a perfectly random prediction? Need a refresher? Start unit 4 of @rasbt's Deep Learning course! 👉👉 bit.ly/3H8hkgO
Speed-up in inference time for Stable Diffusion obtained by @LightningAI #deeplearning
We made it three times faster to serve Stable Diffusion 🏎️💨💨💨 Here’s how we did it 🧵... (1/6)
A nice tutorial video on using Optuna and PyTorch for auto-tuning hyperparameters: youtube.com/watch?v=P6NwZV… #DataScience #DeepLearning #MachineLearning
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
Why? PyTorch. That's why. thenextweb.com/news/why-tenso…
🔔 Our Next Live Q&A: How and why you should contribute to tutorials and code to PyTorch w/ @ZainRzv, @shshnkp, @laignas and Carl Parker. 🗓️ December 15 @ 2pm PT Watch this talk in advance to learn more: youtube.com/watch?v=-UvX2_…
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
Language Translation #tutorials with #PyTorch
Learn about language translation w/ nn.transformer & torchtext today for #TutorialTuesdays. We’ll show you how to use torchtext’s inbuilt datasets, tokenize a raw text sentence, build vocabulary, and convert tokens into tensor. Follow the tutorial ➡️ bit.ly/3UzIH84
At the @PyTorch Developer Conference 2022, join our @Path_AI 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
#TutorialTuesdays Training a nn.Transformer model in #pytorch
Learn how to train a nn.Transformermodel on a language modeling task this week on #TutorialTuesdays: 1️⃣ Define the model 2️⃣ Load & batch data 3️⃣ Initiate an instance 4️⃣ Run the model 5️⃣ Evaluate the best model on the test dataset Read more about nn.Transformer ⬇️
#PyTorchConference is 18 days away! Join PyTorch co-creator @soumithchintala, PyTorch Foundation Exec Dir @ibrahimatlinux 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
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…
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…
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…
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…
The Most Complete Guide to #PyTorch for Data Scientists - KDnuggets buff.ly/3cwg0EL
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.
All presented papers at ICLR (virtual-2020): iclr.cc/virtual_2020/p…
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