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PyTorch
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
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Distributed training with PyTorch and Azure ML
Distributed training with PyTorch and Azure ML
Suppose you have a very large PyTorch model, and you’ve already tried many common tricks to speed up training: you optimized your code, you…
Beatriz Stollnitz
Jan 5
Faster training and inference using the Azure Container for PyTorch in Azure ML
Faster training and inference using the Azure Container for PyTorch in Azure ML
If you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you! The Azure ML team has…
Beatriz Stollnitz
Dec 9, 2022
Active Learning with PyTorch
Active Learning with PyTorch
Building Uncertainty Sampling, Diversity Sampling and Advanced Active Learning strategies in PyTorch
Robert (Munro) Monarch
Oct 21, 2019
Accelerating PyTorch Inference with Torch-TensorRT on GPUs
Accelerating PyTorch Inference with Torch-TensorRT on GPUs
Today, we are pleased to announce that Torch-TensorRT has been brought to PyTorch. The official repository for Torch-TensorRT now sits…
Jay Rodge
Jun 16, 2022
Ludwig on PyTorch
Ludwig on PyTorch
How we ported Ludwig to PyTorch, the declarative deep learning framework, and how the PyTorch community can benefit from it
Piero Molino
May 24, 2022
Featured stories
PyTorch / XLA is now Generally Available on Google Cloud TPUs
PyTorch / XLA is now Generally Available on Google Cloud TPUs
PyTorch / XLA, a package that lets PyTorch connect to Cloud TPUs and use TPU cores as devices, is now generally available.
PyTorch
Sep 29, 2020
PyTorch Lightning 1.0: From 0–600k
PyTorch Lightning 1.0: From 0–600k
Lightning reveals the final API, a new website, and a sneak peek into our new native platform for training models at scale on the cloud!
PyTorch Lightning team
Oct 19, 2020
Introducing PFRL: A PyTorch-based Deep RL library
Introducing PFRL: A PyTorch-based Deep RL library
With the goal of being comprehensive and flexible, PFRL additionally supports numerous other algorithms and features.
Prabhat Nagarajan
Oct 12, 2020
Japanese Tutorials
「AllenAct」で深層強化学習を試す
「AllenAct」で深層強化学習を試す
AllenNLPでおなじみのAllenAI研究所が、2020年9月に発表したPyTorchの深層強化学習ライブラリ「AllenAct」で、チュートリアルの迷路課題の実装を、AllenActの構造を追いながら解説します。
小川 雄太郎(電通国際情報サービスISID)
Sep 27, 2020
PyTorchを用いたディープラーニング実装の学習方法 (Part 1)
PyTorchを用いたディープラーニング実装の学習方法 (Part 1)
PyTorchを用いて画像処理から自然言語処理など、様々なDeepLearningの実装手法を学習する方法を解説します(Part 1)。( I introduce how to learn PyTorch Implementation for Japanese people).
小川 雄太郎(電通国際情報サービスISID)
Aug 25, 2020
PyTorchを用いたディープラーニング実装の学習方法 (Part 2)
PyTorchを用いたディープラーニング実装の学習方法 (Part 2)
PyTorchを用いて画像処理から自然言語処理など、様々なDeepLearningの実装手法を学習する方法を解説します (Part 2)。( I introduce how to learn PyTorch Implementation for Japanese…
小川 雄太郎(電通国際情報サービスISID)
Aug 25, 2020
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