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Translated.Net aot ORM SqlServer ORM Mongodb ORM MySql 瀚高 (Hangao, "vast and high") Postgresql ORM DB2 Hana 高斯 (Gaosi, "Gauss") Duckdb C# VB.NET Sqlite ORM Oracle ORM Mysql Orm 虚谷数据库 (Xugu Shujuku, "Xugu database") 达梦 (Dameng, "reaching dreams") ORM 人大金仓 (Renda Jincang, "Renda golden granary") ORM 神通 (Shentong, "divine powers") ORM C# ORM , C# ORM .NET ORM NET9 ORM .NET8 ORM ClickHouse ORM QuestDb ,TDengine ORM,OceanBase ORM,GaussDB ORM,Tidb ORM Object/Relational Mapping

(Replaces Next.js/Nuxt) 🔨 Build mission-critical applications with stability and development freedom.

noUiSlider is a lightweight, ARIA-accessible JavaScript range slider with multi-touch and keyboard support. It is fully GPU animated: no reflows, so it is fast; even on older devices. It also fits wonderfully in responsive designs and has no dependencies.

Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q

Easy interactive web applications with R

  • r
  • rstudio
  • shiny
  • reactive

The Rocq Prover is an interactive theorem prover, or proof assistant. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

A cross-platform file change monitor with multiple backends: Apple macOS File System Events, *BSD kqueue, Solaris/Illumos File Events Notification, Linux inotify and fanotify, Microsoft Windows and a stat()-based backend.

  • event-notifications
  • change-monitor
  • fswatch
  • kqueue

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

A ClojureScript framework for building user interfaces, leveraging React

  • reagent
  • clojurescript
  • re-frame
  • spa