This cheatsheet provides a handy reference guide for writing powerful queries using the dataview plugin in Obsidian.
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Updated
Nov 23, 2025
This cheatsheet provides a handy reference guide for writing powerful queries using the dataview plugin in Obsidian.
📝 This VSTO Add-In is used for cleaning & creating a script for batch loading records into SQL Server, Oracle, Documentum, Markup or Markdown Languages. The functionality within the ribbon allows a quick way of preparing a bulk data load. Otherwise, the requests can be both time-consuming and error prone. It is written in 3 different versions as…
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Web Scraping with Deno: DOM + GraphQL
kubectl-inspired CLI for managing Dynatrace platform resources from your terminal
⚡ This Documentum scripting tool was created in Microsoft Visual Studio Community 2017 C#/WPF Ribbon. Multiple scripts can be contained in one file then run as one command against the idql32/64. It then refreshes the grid with the results file that is created by the idql tool.
This is an unofficial plugin offering tools for effective writing of DQL files. It offers similar functionality to the Dynatrace Notebooks, but can work fully locally.
Deep Q-learning (DQL) for playing Snake game
Get custom time difference between two DateTime PHP object in Doctrine Query Langage (DQL)
Otter is a smart proxy and query transpiler for Dgraph. It balances traffic across clusters and adds experimental support for Cypher and other graph query languages.
The Double Inverted Pendulum consists of two joint pendulums connected to a cart that is moving on a track, the RL agent needs to keeps in equilibrium the Double Inverted Pendulum.
Reduce multi-relation Doctrine queries to a single SQL statement using JSON aggregation. Solves Doctrine's N+1 problem.
This repository contains code to train and test policies for a MPE environment (Simple Spread). Training is done using DQL for independent learning. Testing was done using 3 different policies: RL, Simple Policy, Complex Policy.
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