Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs.

Notebook for running Molecular Dynamics (MD) simulations using OpenMM engine and AMBER force field for PROTEIN systems. This notebook is a supplementary material of the paper "Making it rain: Cloud-based molecular simulations for everyone" (link here) and we encourage you to read it before using this pipeline.

Google believes that open source is good for everyone. By being open and freely available, it enables and encourages collaboration and the development of technology, solving real world problems.

I’ve been teaching Python programming for several years and I’ve discovered some great tools and techniques to help students learn and to make my life easier.

Hugging Face is a collaborative Machine Learning platform in which the community has shared over 150,000 models, 25,000 datasets, and 30,000 ML apps. Throughout the development process of these, notebooks play an essential role in allowing you to: explore datasets, train, evaluate, and debug models, build demos, and much more.

Under Tools->Settings, select Miscellaneous, then one of the featured modes or…why not all three?And voila — your menu bar is resplendent with cute animated companions outfitted in their Halloween finest.Maybe your pandas are broken, but …

In Part 1, I explained why Colab is great for teaching Python programming.In this article we’ll get into the details — I’ll show you some specific examples of how Colab can enhance your Python teaching toolkit.

Having a spoken conversation with Gemini, Google's latest and most advanced model, is simple in a Colab notebook with the Vertex Speech-to-Text API.

With the upgrade to Python 3.10, it brings Colab into alignment with the cadence of final regular bug fix releases for Python versions.The next version of Python (3.11) is scheduled to have its final regular bug fix release in April 2024.. Colab’s fallback runtime version