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

A  comprehensive dataset to study biases in AI-generated texts, focusing on gender and power dynamics in generative language models like ChatGPT and Claude.

Interrogating AI Bias with the Laissez-Faire Prompts Dataset

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

These days, machine learning and computer vision are all the craze. We’ve all seen the news about self-driving cars and facial recognition and probably imagined how cool it’d be to build our own computer vision models. However, it’s not always easy to break into the field, especially without a strong math background. Libraries like PyTorch and TensorFlow can be tedious to learn if all you want to do is experiment with something small.

Build a Custom-Trained Object Detection Model With 5 Lines of Code

Pytorch is a deep learning framework; a set of functions and libraries which allow you to do higher-order programming designed for Python language, based on Torch. Torch is an open-source machine learning package based on the programming language Lua. It is primarily developed by Facebook’s artificial-intelligence research group and Uber’s Pyro probabilistic programming language software is built on it.

Getting Started With Pytorch In Google Collab With Free GPU

this story is a continuation to the series on how to easily build an abstractive text summarizer&nbsp;, (check out <a href="https://github.com/theamrzaki/text_summurization_abstractive_methods" target="_blank">github repo</a> for this series)&nbsp;, today we would go through how you would be able to build a summarizer able to understand words&nbsp;, so we would through representing words to our summarizer

Abstractive Text Summarization (tutorial  2) , Text Representation made very easy

Finance professionals have long had access to <a href="https://docs.microsoft.com/en-us/office/vba/library-reference/concepts/getting-started-with-vba-in-office" target="_blank">VBA (Visual Basic for Applications)</a> in Excel to build custom functionality and automate workflows. With the emergence in recent years of Google Sheets as a serious contender in the spreadsheet space, <a href="https://developers.google.com/apps-script/overview" target="_blank">Google Apps Script</a> now offers an additional choice.

Python and Finance: How to Level Up Your Spreadsheets

Have you ever thought of being one of the passengers on the Titanic in 1912? Would you survive? Would your children survive? What would happen if you were in the upper deck? We are often told that women and children were given priority to the lifeboats, but I was not satisfied with this short, qualitative answer. With the advent of machine learning, we are able to dig deeper. We can spot patterns and infer what would have happened to you and your family should you all were onboard.

Would You Survive the Titanic?

<a href="https://github.com/jupyter/notebook" target="_blank">Jupyter Notebook</a> is a fantastic tool for data exploration. It combines markdown text, executable code, and output all inside a single document served in a browser. While <a href="https://hackernoon.com/tagged/jupyter" target="_blank">Jupyter</a> is great for data science, I’m going to demonstrate the use of <a href="https://hackernoon.com/tagged/notebook" target="_blank">Notebook</a> for a completely different use case: DevOps Runbook or simply put, a way to respond quickly to system outages.

Simplify DevOps with Jupyter Notebook

TL;DR. After reading this post, you will learn how to run state of the art object detection and segmentation on a video file Fast. Even on an old laptop with an integrated graphics card, old CPU, and only 2G of RAM.

How to run Object Detection and Segmentation on a Video Fast for Free

By <a href="https://www.linkedin.com/in/isaacmadan" target="_blank">Isaac Madan</a> (<a href="mailto:isaac@venrock.com" target="_blank">email</a>)

Up to Speed on AI & Deep Learning: October Update, Part 3

…and why Python is the de facto in ML

Python is the de facto programming language used is machine learning. This is owed to it’s simplicity and readability, which allows users to focus on the algorithms and results, rather than wasting time on structuring code efficiently and keeping it manageable.

The Programming Language For Machine Learning Projects

Last Night A Distributed Cooperative Organization Saved My Life: A brief introduction to DisCOs

This section acknowledges the invaluable insights and contributions from numerous collaborators and institutions, including UC Berkeley

Collaborator Acknowledgments: Expertise Fueling Muon Collider Physics

AIs are becoming entrenched in everyday business operations, serving as cognitive collaborators to employees

How AI Serves as a Cognitive Collaborator to Employees

Leverage the practice of code ownership to streamline bug identification and resolution throughout the entire software development lifecycle

Use Collaborator and Bugsnag to Set Up a Code Ownership Loop

Web3 and DeFi are hot and trendy topics these days. What does Web3 actually mean? How do Web3 and DeFi impact each other? What's the best Web3 example?

Web3 and DeFi: Collaborators OR Competitors?

Every creative person has a project — or at least a project idea.

FindCollabs: Share Your Open Source Projects and Find Collaborators

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Since 2022

Colaboratory's stories on HackerNoon

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

Interrogating AI Bias with the Laissez-Faire Prompts Dataset

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

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

10 Google Artificial Intelligence Tools Available to Everyone

Using Flask to Build a Rule-based Chatbot in Python

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

Intro to Jupiter Notebooks

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

Build a Custom-Trained Object Detection Model With 5 Lines of Code

Getting Started With Pytorch In Google Collab With Free GPU

Abstractive Text Summarization (tutorial 2) , Text Representation made very easy

Python and Finance: How to Level Up Your Spreadsheets

Would You Survive the Titanic?

Simplify DevOps with Jupyter Notebook

How to run Object Detection and Segmentation on a Video Fast for Free

Up to Speed on AI & Deep Learning: October Update, Part 3

The Programming Language For Machine Learning Projects

Last Night A Distributed Cooperative Organization Saved My Life: A brief introduction to DisCOs

Collaborator Acknowledgments: Expertise Fueling Muon Collider Physics

How AI Serves as a Cognitive Collaborator to Employees

Use Collaborator and Bugsnag to Set Up a Code Ownership Loop

Web3 and DeFi: Collaborators OR Competitors?

FindCollabs: Share Your Open Source Projects and Find Collaborators

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