Colaboratory

Vor kurzem erst entdeckt und für gut befunden: Googles Plattform um schnell mal <a href="https://hackernoon.com/tagged/python" target="_blank">Python</a> Scripts zu erstellen und in Form eines Jupyter Notebooks verwalten. Alle Möglichkeiten sind unter: <a href="https://colab.research.google.com" target="_blank">https://colab.research.google.com</a> ersichtlich. Ausgaben über die <code class="markup--code markup--p-code">matplotlib</code>, Nutzung von <code class="markup--code markup--p-code">NumPy</code>, installieren weiterer Libs über <code class="markup--code markup--p-code">pip</code> und und und.

Colaboratory — Google — Research at Google — am Beispiel Webscraping mit Python

This section details the experimental setup for evaluating BiasPainter, including the image generation models tested-stable diffusion, midjournery and more. 

How BiasPainter Assesses Social Bias: Experimental Setup and Tests for Top Image Generation Models 

This blog is part 1 of (and contains a link to) a 70+ page report was created to quickly find data resources and/or assets for a given dataset and a specific ta

70-Page Report on the COCO Dataset and Object Detection [Part 2]

An overview of ten Google AI tools that developers, businesses and analysts can use. Where to look for high-quality datasets and how to link a ready-made TensorFlow model to a project.

10 Google Artificial Intelligence Tools Available to Everyone

Learn to  build AI ruled-based chatbot with a simple tutorial that can be showcased in your Portfolio.

Using Flask to Build a Rule-based Chatbot in Python

This blog post delivers the fundamental principles behind object detection and it's algorithms with rigorous intuition.

Object Detection Using Single Shot MultiBox Detector (A Case Study Approach)

“Notebooks” are web applications that run on the browser which basically give you, the user, an interface to a virtual machine that runs an out-of-the-box environment. They are based on the Jupyter Notebook project — an open-source project that brings machine learning development to your browser! No more virtual environment set-up hassle from now on. Which is great news since a lot of developers want to deal only with data science projects and not get derailed from that by needing to configure and set up their computers.

Intro to Jupiter Notebooks

This post was written by Michael Nguyen, Machine Learning Research Engineer at AssemblyAI. AssemblyAI uses Comet to log, visualize, and understand their model development pipeline. 

Building an End-to-End Speech Recognition Model in PyTorch with AssemblyAI

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Since n.d.

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