Exploring scientific machine learning pipelines through the SimulAI toolkit
Exploring scientific machine learning pipelines through the SimulAI toolkitOverview
Joao Lucas de Sousa Almeida
Feb 14, 2024
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, 2024
Differential Privacy Series Part 1 | DP-SGD Algorithm Explained
Differential Privacy Series Part 1 | DP-SGD Algorithm ExplainedDifferentially-Private Stochastic Gradient Descent modifies the minibatch stochastic optimization process to make it differentially…
PyTorch
Aug 31, 2020
Active Learning with PyTorch
Active Learning with PyTorchBuilding Uncertainty Sampling, Diversity Sampling and Advanced Active Learning strategies in PyTorch
Robert (Munro) Monarch
Oct 21, 2019
Hydra — A fresh look at configuration for machine learning projects
Hydra — A fresh look at configuration for machine learning projectsThis post is authored by Omry Yadan, Software Engineer at Facebook AI who created Hydra.
PyTorch
Feb 3, 2020
Featured stories
PyTorch / XLA is now Generally Available on Google Cloud TPUs
PyTorch / XLA is now Generally Available on Google Cloud TPUsPyTorch / 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 0–600kLightning 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 libraryWith 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
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
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
Aug 25, 2020