Nas Libraries

7 Components & Libraries

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Nas Libraries

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

To install the current release: Participating discussions via the following IM groups is also welcomed. Over the past few years, NNI has received thousands of feedbacks on GitHub issues, and pull req…

A python library for 2 player games.

Nashpy is: To install Nashpy on Fedora, use: Create bi matrix games by passing two 2 dimensional arrays/lists: Clone the repository and create a virtual environment: Make modifications. To run the te…

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Additionally, it also provides multiple methods for computing land surface emissivity. It is targeted towards supporting research and science workflows in many fields including climate science, earth…

Computer Aided Integration of Requirements and Information Security - Server

CAIRIS (Computer Aided Integration of Requirements and Information Security) is a platform for modelling secure and usable systems. CAIRIS was built from the ground-up to support usability, requireme…

GNSS software for multipath analysis

A considerable part of the results has been validated by comparing the results with estimates from RTKLIB. This software will be further developed, and feedback and suggestions are therefore grateful…

An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.

mobile-env supports multi-agent and centralized reinforcement learning policies. It provides various choices for rewards and observations. mobile-env is also easily extendable, so that anyone may add…

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

Please include these citations if you plan to use this library: After installation, you can import Permetrics as any other Python module: Below is the most efficient and effective way to use this lib…