PyTorch

Overview

The most prominent distinction between LLaMA-1 and LLaMA-2 lies in the incorporation of higher-quality corpora, a pivotal factor…

The technology is being put directly in the hands of more than 18,000 farmers across India.

We are announcing a number of technical contributions to enable end-to-end support for MLflow usage with PyTorch.

Authors: Pavel Belevich (Meta AI), Yanli Zhao (Meta AI), Shen Li (Meta AI), Jessica Choi (Meta AI), Rohan Varma (Meta AI), Pritam Damania…

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…