PyTorch

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…

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…

Building Uncertainty Sampling, Diversity Sampling and Advanced Active Learning strategies in PyTorch

Today, we are pleased to announce that Torch-TensorRT has been brought to PyTorch. The official repository for Torch-TensorRT now sits…

How we ported Ludwig to PyTorch, the declarative deep learning framework, and how the PyTorch community can benefit from it

PyTorch / XLA, a package that lets PyTorch connect to Cloud TPUs and use TPU cores as devices, is now generally available.

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!

With the goal of being comprehensive and flexible, PFRL additionally supports numerous other algorithms and features.

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。

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).

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…