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?
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
🔔 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
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
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…
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…
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