Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
日本語の概要は準備中です。原文の説明を表示しています。
クラウド、CI/CD、監視、デプロイ(6,734 件)
概要と使いどころ
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
日本語の概要は準備中です。原文の説明を表示しています。
Ship a Drizzle schema change end to end — generate the migration, merge, hand Matt the migrate command, redeploy apps/remote, confirm it is green. Use whenever a change adds or edits a file under packages/core/db/migrations/ or changes packages/core/db/schema.ts, or when an apps/remote deploy failed with "production has not applied".
日本語の概要は準備中です。原文の説明を表示しています。
Generates structured logging infrastructure using os.log/Logger to replace print() statements. Use when user wants to add proper logging, replace print statements, or set up app logging.
日本語の概要は準備中です。原文の説明を表示しています。
Generates SwiftData or CoreData persistence layer with optional iCloud sync. Use when user wants to add local storage, data persistence, or cloud sync.
日本語の概要は準備中です。原文の説明を表示しています。
Generate push notification infrastructure with APNs registration, handling, and rich notifications. Use when adding push notifications, configuring APNs, notification categories/actions, or rich notifications with images and custom UI.
日本語の概要は準備中です。原文の説明を表示しています。
Generates state preservation and restoration infrastructure for navigation paths, tab selection, scroll positions, and form data across app launches and background termination. Use when user wants to save/restore app state, remember where the user left off, or persist UI state.
日本語の概要は準備中です。原文の説明を表示しています。
Generate CloudKit sync infrastructure using CKSyncEngine with conflict resolution, sharing, and account monitoring. Use when adding iCloud sync to an iOS/macOS app.
日本語の概要は準備中です。原文の説明を表示しています。
Generates Core Spotlight indexing infrastructure for making app content searchable via system Spotlight with rich attributes and deep link integration. Use when user wants to index content for Spotlight search, Siri suggestions, or system-wide searchability.
日本語の概要は準備中です。原文の説明を表示しています。
Generates StoreKit 2 subscription lifecycle management — grace periods, billing retry, offer codes, win-back offers, upgrade/downgrade paths, and subscription status monitoring. Use when user needs post-purchase subscription state handling beyond the initial paywall.
日本語の概要は準備中です。原文の説明を表示しています。
Generates background processing infrastructure with BGTaskScheduler, background refresh, background downloads, and silent push handling. Use when user needs background tasks, periodic refresh, background URLSession downloads, or silent push notification processing.
日本語の概要は準備中です。原文の説明を表示しています。
Generates authentication infrastructure with Sign in with Apple, biometrics, and Keychain storage. Use when user wants to add authentication, login, or Sign in with Apple.
日本語の概要は準備中です。原文の説明を表示しています。
Generates pagination infrastructure with offset or cursor-based patterns, infinite scroll, and search support. Use when user wants to add paginated lists, infinite scrolling, or load-more functionality.
日本語の概要は準備中です。原文の説明を表示しています。
Generates app extension infrastructure for Share Extensions, Action Extensions, Keyboard Extensions, and Safari Web Extensions with data sharing via App Groups. Use when user wants to add a share extension, action extension, keyboard extension, Safari web extension, or any app extension type.
日本語の概要は準備中です。原文の説明を表示しています。
Generate internationalization (i18n) infrastructure for multi-language support in iOS/macOS apps. Use when localizing for multiple languages, adopting String Catalogs (xcstrings), or supporting RTL languages.
日本語の概要は準備中です。原文の説明を表示しています。
Generates infrastructure for exporting app content to social platforms (Instagram Stories, TikTok, Twitter/X) with platform-specific formatting, aspect ratios, and metadata. Use when user wants social media export, share to stories, or platform-specific sharing pipelines.
日本語の概要は準備中です。原文の説明を表示しています。
Generate ActivityKit Live Activity infrastructure with Dynamic Island layouts, Lock Screen presentation, and push-to-update support. Use when adding Live Activities to an iOS app.
日本語の概要は準備中です。原文の説明を表示しています。
Generates referral/invite infrastructure with unique codes, deep link sharing, reward tracking, and fraud prevention. Use when user wants referral codes, invite friends flow, or viral growth mechanics.
日本語の概要は準備中です。原文の説明を表示しています。
Generates protocol-based error/crash monitoring with swappable providers (Sentry, Crashlytics). Use when user wants to add crash reporting, error tracking, or production monitoring.
日本語の概要は準備中です。原文の説明を表示しています。
Generate deep linking infrastructure with URL schemes, Universal Links, and App Intents for Siri/Shortcuts. Use when handling custom URL schemes, Universal Links/Associated Domains, or routing to specific content from external sources.
日本語の概要は準備中です。原文の説明を表示しています。
Provides large-scale single-cell omics data manipulation using Genomic Data Structure (GDS) files. It combines dense and sparse matrices stored in GDS files and the Bioconductor infrastructure framework (SingleCellExperiment and DelayedArray) to provide out-of-memory data storage and large-scale manipulation using the R programming language.
日本語の概要は準備中です。原文の説明を表示しています。
SGC is a semi-supervised pipeline for gene clustering in gene co-expression networks. SGC consists of multiple novel steps that enable the computation of highly enriched modules in an unsupervised manner. But unlike all existing frameworks, it further incorporates a novel step that leverages Gene Ontology information in a semi-supervised clustering method that further improves the quality of the computed modules.
日本語の概要は準備中です。原文の説明を表示しています。
We propose an Asymmetric Within-Sample Transformation (AWST) to regularize RNA-seq read counts and reduce the effect of noise on the classification of samples. AWST comprises two main steps: standardization and smoothing. These steps transform gene expression data to reduce the noise of the lowly expressed features, which suffer from background effects and low signal-to-noise ratio, and the influence of the highly expressed features, which may be the result of amplification bias and other experi
日本語の概要は準備中です。原文の説明を表示しています。
The QFeatures infrastructure enables the management and processing of quantitative features for high-throughput mass spectrometry assays. It provides a familiar Bioconductor user experience to manages quantitative data across different assa
日本語の概要は準備中です。原文の説明を表示しています。
The MsDataHub package uses the ExperimentHub infrastructure to distribute raw mass spectrometry data files, peptide spectrum matches or quantitative data from proteomics and metabolomics experiments.
日本語の概要は準備中です。原文の説明を表示しています。