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An open source machine learning framework that accelerates the path from research prototyping to production deployment.
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Exploring scientific machine learning pipelines through the SimulAI toolkit
Exploring scientific machine learning pipelines through the SimulAI toolkit
Overview
Joao Lucas de Sousa Almeida
Feb 14
Colossal-LLaMA-2: Low Cost and High-quality Domain-specific LLM Solution Using LLaMA and…
Colossal-LLaMA-2: Low Cost and High-quality Domain-specific LLM Solution Using LLaMA and…
The most prominent distinction between LLaMA-1 and LLaMA-2 lies in the incorporation of higher-quality corpora, a pivotal factor…
Yang You
Jan 29
Training a 1 Trillion Parameter Model With PyTorch Fully Sharded Data Parallel on AWS
Training a 1 Trillion Parameter Model With PyTorch Fully Sharded Data Parallel on AWS
Authors: Pavel Belevich (Meta AI), Yanli Zhao (Meta AI), Shen Li (Meta AI), Jessica Choi (Meta AI), Rohan Varma (Meta AI), Pritam Damania…
PyTorch
Mar 15, 2022
Training Compact Transformers from Scratch in 30 Minutes with PyTorch
Training Compact Transformers from Scratch in 30 Minutes with PyTorch
Authors: Steven Walton, Ali Hassani, Abulikemu Abuduweili, and Humphrey Shi. SHI Lab @ University of Oregon and Picsart AI Research (PAIR)
Steven Walton
Jun 28, 2021
BetterTransformer, Out of the Box Performance for Hugging Face Transformers
BetterTransformer, Out of the Box Performance for Hugging Face Transformers
A few months ago, PyTorch launched BetterTransformer (BT) that provides a significant speedup on Encoder-based models for all modalities…
Younes Belkada
Nov 17, 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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