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The AlphaGenome API provides access to AlphaGenome, Google DeepMind’s unifying model for deciphering the regulatory code within DNA sequences. This repository contains client-side code, examples, and documentation to help you use the AlphaGenome API. AlphaGenome offers multimodal predictions, encompassing diverse functional outputs such as gene expression, splicing patterns, chromatin features, and contact maps.

MuJoCo, developed and maintained by Google DeepMind, is a high-performance physics engine designed for simulating complex, articulated systems that interact through contact. It is widely used in research fields such as robotics, biomechanics, computer graphics, animation, and machine learning, where fast and accurate physics simulations are essential. The engine provides a robust C API optimized for real-time computation, making it suitable for scientific research and advanced simulation environments. ...

With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order. What’s new is that JAX uses XLA to compile and run your NumPy programs on GPUs and...

CAIRO for AERMOD v1.1 by MSc Dominik Subotić Simplified training software Avaliable: www.sourceforge.net/projects/cairo-for-aermod/ QGIS plugin: CAIROforAERMOD (Coming 2025.) Tutorial: https://www.youtube.com/watch?v=DZnsJuu1zLc AERMAP, AERMOD and AERPLOT analysis tool and input file compiler. Features: Automatic input by copying coordinates (Google Maps or text) and automatic conversion to UTM. Sources are automatically visualised in Google Earth. Input is done through user...

...The system is composed of three main components: Fusion, which processes and integrates imagery, vector, and terrain data into unified map layers; Server, which hosts the resulting globes or maps via Apache or Tornado-based web servers; and Client, which includes the Google Earth Enterprise Client (EC) for 3D visualization and the Google Maps JavaScript API V3 for 2D viewing. Designed for enterprise, research, and government use, it allows for secure, scalable deployment of geospatial visualization systems within private infrastructure.

CellPublisher is a free, open source program to improve the navigation of biological pathways. It converts CellDesigner diagrams into fully-featured maps that live inside a browser. The navigation is based on the Google maps API.

* Note: The Google Maps V2 API used by this module has been deprecated. * For V3, consider pygeocoder: https://pypi.python.org/pypi/pygeocoder Easy-to-use Python wrapper for the Google Maps V2 and Local Search APIs. Provides geocoding, reverse geocoding, directions, and local search.

Tool kit for moving KML formatted Geospatial data into and out of other GIS packages such as ESRI ArcGIS, PostGIS, etc Supports reading and writing Google Earth files via Python and other GIS packages.

A Python library for easy creation and manipulation of Google Earth KML and KMZ placemark files. Please get your copy from http://pykml.cvs.sourceforge.net/viewvc/pykml/pykml/?view=tar