Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers: List of implemented papers Convolutional Neural Networks (CNN) Language Modeling with Gated Convolutional Networks (Dauphin et al., 2017)
Hermes is a JavaScript engine optimized for fast start-up of React Native apps. It features ahead-of-time static optimization and compact bytecode. If you're only interested in using pre-built Hermes in a new or existing React Native app, you do not need to follow this guide or have direct access to the Hermes source. Instead, just follow these instructions to enable Hermes. Noted that each Hermes
simple-cache-provider A basic cache for React applications. It also serves as a reference for more advanced caching implementations. This package is meant to be used alongside yet-to-be-released, experimental React features. It's unlikely to be useful in any other context. Do not use in a real application. We're publishing this early for demonstration purposes. Use it at your own risk. No, Really,
Our vision for React Native is... A healthy GitHub repository. Issues and pull requests get handled within a reasonable period of time. Increased test coverage. Commits that sync out from the Facebook code repository should not break open source tests. A higher scale of meaningful community contributions. Stable APIs, making it easier to interface with open source dependencies. Facebook uses the s
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く