@awesomeopensource · Post #147 · 07/25/2018, 02:38 PM
dvc 为机器学习实验设计的版本控制,可以兼容任何git存储库。用于管理实验数据和代码,可以重现实验过程和结果。(视频很有意思) Tags:#machinelearning#versioncontrol#tools Languages:#python
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Source channel @githubtrending · Post #15006 · Jul 29
#go#cli#event_driven#event_driven_architecture#queues#serverless#serverless_functions#workflow_engine#workflows Inngest lets you write reliable, long-running background functions called durable workflows that automatically handle retries, scheduling, and state management without needing to manage infrastructure like queues or servers. You write functions in your preferred language using their SDKs, run and test them locally with the Inngest Dev Server, then deploy them on your own infrastructure or Inngest’s platform. It supports complex workflows with steps that retry on failure, concurrency control, and event triggers. This saves you time and effort by simplifying event-driven app development, improving reliability, and scaling automatically without extra setup. It also offers tools for monitoring and managing workflows easily. https://github.com/inngest/inngest
Search: #versioncontrol
@awesomeopensource · Post #147 · 07/25/2018, 02:38 PM
dvc 为机器学习实验设计的版本控制,可以兼容任何git存储库。用于管理实验数据和代码,可以重现实验过程和结果。(视频很有意思) Tags:#machinelearning#versioncontrol#tools Languages:#python