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cicerolneto's Projects

lua icon lua

The Lua repo, as seen by the Lua team. Mirrored irregularly. Please DO NOT send pull requests. Send issues/patches to the Lua mailing list https://www.lua.org/lua-l.html

luna icon luna

Provisioning tool for clusters

marvin icon marvin

Data access and visualization for MaNGA. http://sdss-marvin.readthedocs.io/en/latest/

mgwr icon mgwr

Multiscale Geographically Weighted Regression (MGWR)

micropython icon micropython

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

mkl-dnn icon mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

model-playgrounds icon model-playgrounds

A project developed and maintained as part of the aim at bringing current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users.

motionless icon motionless

motionless is a Python library that takes the pain out of generating Google Static Map URLs.

mplleaflet icon mplleaflet

Easily convert matplotlib plots from Python into interactive Leaflet web maps.

nasa-3d-resources icon nasa-3d-resources

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

nench icon nench

VPS benchmark script — based on the popular bench.sh, plus CPU and ioping tests, and dual-stack IPv4 and v6 speedtests by default

ngraph icon ngraph

nGraph - open source C++ library, compiler and runtime for Deep Learning

node icon node

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

node-gdal icon node-gdal

Node.js bindings for GDAL (Geospatial Data Abstraction Library)

npp-obsidian-pycs icon npp-obsidian-pycs

Notepad++ color theme [Obsidian PyCs] based on the built-in Obsidian theme and inspired by Adobe Source Code Pro font announcement screenshot.

ntl-asteroid-data-hunter icon ntl-asteroid-data-hunter

NASA's Asteroid Data Hunter challenge tasked competitors to develop significantly improved algorithms to identify asteroids in images from ground-based telescopes. This winning solution increased the detection sensitivity, minimize the number of false positives, ignore imperfections in the data, and run effectively on all computers.

numba icon numba

NumPy aware dynamic Python compiler using LLVM

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