Colab

Colaboratory, or "Colab" for short, is a product from Google Research. Colab allows anybody to write and execute arbitrary Python code through the browser, and is especially well suited to machine learning, data science, and education. More technically, Colab is a hosted Jupyter notebook service that requires no setup to use, while providing access free of charge to computing resources, including GPUs and TPUs. Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. When you create your own Colab notebooks, they are stored in your Google Drive account. You can easily share your Colab notebooks with co-workers or friends, allowing them to comment on your notebooks or even edit them.

Colab is used extensively in the machine learning community with applications including: Getting started with TensorFlow, developing and training neural networks, experimenting with TPUs, disseminating AI research, and creating tutorials. Colab notebooks execute code on Google's cloud servers, meaning you can leverage the power of Google hardware, including GPUs and TPUs, regardless of the power of your machine. One of the key benefits of Colab is that it provides access to powerful computing resources, which are essential for machine learning tasks. Colab is free to use, and no setup is required; you can start using Colab right away from your web browser without installing any software. It also facilitates easy sharing, making it a great tool for collaboration. For users requiring more resources, Colab Pro and Pro+ offer increased compute units, access to more powerful GPUs and memory, and other advanced features like AI-assisted productivity enhancements and background execution for long-running tasks. Colab prioritizes users who are actively programming in a notebook to provide access to as many students and under-resourced groups around the world as possible.