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A collection of awesome resources for process mining
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Updated Mar 24, 2024
A collection of awesome resources for process mining
Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.
Automate the process of making money online.
Open Source Alternative to NotebookLM / Perplexity / Glean, connected to external sources such as search engines (Tavily, Linkup), Slack, Linear, Notion, YouTube, GitHub, Discord and more.
Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal is…
Think Less. Trade Worse. Use Trust Me, Bro.
RangeBox is a volatility-based indicator for NinjaTrader that visualizes recent price ranges in relation to the Average True Range (ATR), helping traders assess market regime and potential movement…
The smarter moving average... adaptive ATR and autocorrelation-driven moving average.
Official repo for the #tidytuesday project
A feature-rich command-line audio/video downloader
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
Sandbox for ninjatrader strategies & experiments
Example of how to communicate between two indicators on NinjaTrader.
Free Order Flow indicators for NinjaTrader 8
Auto Average True Range Indicator - Uses the median ATR for the last x number of bars. Automatically updates and draws upper and lower ranges within the median high and low ATR.
Histogram showing the difference between a fast and slower VOLMA. Positive values mean increasing short-term volume.
Hi I'm Gabriel Zenobi, this is a toolkit that I developed for investment funds, banks and traders of all kinds.
Documenting my journey into learning Vega and using Deneb for Power BI.
Apache Superset is a Data Visualization and Data Exploration Platform
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
Natural Intelligence is still a pretty good idea.
A game theoretic approach to explain the output of any machine learning model.