The NASA Ames Stereo Pipeline is a suite of automated geodesy & stereogrammetry tools designed for processing planetary imagery captured from orbiting and landed robotic explorers on other planets.

The NASA Vision Workbench is a general purpose image processing and computer vision library developed by the Autonomous Systems and Robotics (ASR) Area in the Intelligent Systems Division at the NASA Ames Research Center.

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NASA Ames Crisis Mapping Toolkit

Service Mesh base on Apache APISIX

Anki Media Extractor Script: Update anki cards with desktop audio and image on gnu/linux

Efficient Matlab Implementation of Adaptive Mesh Refinement in 2D

We present the NASA Ames Legacy Mars Global Climate Model for public release. This model uses a modified version of the ARIES/GEOS dynamical core coupled with a set of Mars physics packages to simulate the martian climate. The physics packages include the treatment of surface properties, a ground temperature model, a planetary boundary layer scheme, water and carbon dioxide sublimation/condensation physics, a water ice cloud microphysical scheme, the use of a moment method for tracer transport, a semi-interactive dust tracking scheme, and a two-stream radiative transfer code based on correlated-k’s.

AMES: Asymmetric and Memory-Efficient Similarity

🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.

Golang interface for Urbit. Connect natively with urbit's ames wire protocol

A prediction model to estimate the state of health (SOH) of a lithium-ion battery (LiB) in real-time based on temperature, voltage, and current measurements. Based on the 2007 NASA Ames research center lithium-ion battery data set

AMES V5.0 is a version of the AMES Wholesale Power Market Test Bed. It models salient features of U.S RTO/ISO-managed wholesale power markets operating over a high-voltage transmission grid during successive days.

The ERCOT Test System permits the dynamic study of the ERCOT (Texas) ISO-managed wholesale power market operating over a high-voltage transmission grid during successive days, with grid congestion handled by Locational Marginal Pricing (LMP). The ERCOT Test System is implemented in part by AMES V5.0.

project arduino to clean solenoid injector of engin car

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Node.js SDK for QQ Bot

Amateurish molecular electronic structure program.(for linux)

The Artificial Intelligence for Life in Space (AI4LS) team at NASA Ames uses artificial intelligence and machine learning to support and advance space exploration. This repository contains code for ongoing and completed projects. SRA#ARC-18915-1

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Ames Stereo Automated Pipeline (ASAP) for reproducible DEMs

Scripts and documentation for processing declassified spy satellite images from Corona and Hexagon with the Ames Stereo Pipeline

Track your bus, frustration free.

exploring aimes house prices comp

Interactive tutorials for the NASA Ames Stereo Pipeline

This project applies basic machine learning concepts on Ames Housing dataset to predict the selling price of a new home.

A Deep Neural Network based model to predict the Remaining Useful Life cycles of battery and on the basis of State of Health of the battery. Project was tested over the NASA AMES Dataset of Batteries and Successfully predicted the outcomes.

"Buying a house is a stressful thing." We built a model to predict the prices of residential homes in Ames, Iowa, using advanced regression techniques. This model will provide buyers with a rough estimate of what the houses are actually worth. We first analyzed the data to find trends. Then dimensionality reduction was performed on the dataset using PCA algorithm and feature selection module in sklearn package for python 3.5. The final house prices are predicted using linear regression models like Ridge and Lasso. We also utilised advanced regression techniques like gradient boosting using XGBoost library in python 3.5.

Ames IA Housing data from De Cock (2011)

Order a motorized throttle body for gasoline engines with an electronic pedal and an arduino Commander un boitier papillon motorisé des moteur essence avec une pédale électronique et un arduino