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ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

mahuco

marac

mars_rover

A squad of robotic rovers are to be landed by NASA on a plateau on Mars. This plateau, which is curiously rectangular, must be navigated by the rovers so that their on-board cameras can get a complete view of the surrounding terrain to send back to Earth.

matplotlib

matplotlib: plotting with Python

mawer

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

nasa-3d-resources

Here you'll find a growing collection of 3D models, textures, and images from inside NASA.

neufoundland

node

Node.js JavaScript runtime :sparkles::turtle::rocket::sparkles:

openmct

A web based mission control framework.

oryx

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

parloo

pouchdb

:koala: - PouchDB is a pocket-sized database.

public-apis

📚 A curated list of APIs from round the web.

pythondatasciencehandbook

Jupyter Notebooks for the Python Data Science Handbook

rplos

R client for the PLoS Journals API

scikit-learn

scikit-learn: machine learning in Python

serverless

Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –

shogun

The Shogun Machine Learning Toolbox (Source Code)

simbody

High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.

simulations_grid

ssgnav

tensorflow

Computation using data flow graphs for scalable machine learning

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow