data-science-learningπ All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
Stars: β 32 (-36%)
P4JPeriodic time series analysis tools based on information theory
Stars: β 42 (-16%)
UnitfulAstro.jlAn extension of Unitful.jl for astronomers.
Stars: β 18 (-64%)
pyuvdataA pythonic interface for radio astronomy interferometry data (uvfits, miriad, others)
Stars: β 62 (+24%)
A-TrackA-Track: Detecting Moving Objects in FITS images.
Stars: β 18 (-64%)
PyData-Pseudolabelling-KeynoteAccompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)
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rust-fitsioFFI wrapper around cfitsio in Rust
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recsys2019The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
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TARTTransient Array Radio Telescope
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CometA complete VOEvent transport system
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curvitCreate light curves from UVIT data.
Stars: β 14 (-72%)
spherical geometryA Python package for handling spherical polygons that represent arbitrary regions of the sky
Stars: β 45 (-10%)
AutoTabularAutomatic machine learning for tabular data. β‘π₯β‘
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heyokaC++ library for ODE integration via Taylor's method and LLVM
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cygridCygrid is a cython-powered convolution-based gridding module for astronomy
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kaggledatasetsCollection of Kaggle Datasets ready to use for Everyone (Looking for contributors)
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sherpaFit models to your data in Python with Sherpa.
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digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
Stars: β 27 (-46%)
PandExoA Community Tool for Transiting Exoplanet Science with the JWST & HST
Stars: β 23 (-54%)
PeakFitA peak-fitting tool based on MATLAB for spectroscopic data analysis.
Stars: β 25 (-50%)
pydlLibrary of IDL astronomy routines converted to Python.
Stars: β 20 (-60%)
CurveFittingγ°οΈ Curve fitting based on Schneider's algorithm. Written using C++11 and OpenSceneGraph (visualization)
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nmmnMiscellaneous methods for: astronomy, dealing with arrays, statistical distributions, computing goodness-of-fit, numerical simulations and much more
Stars: β 16 (-68%)
phantom-configParse, convert, modify, and generate Phantom config files.
Stars: β 12 (-76%)
smoothersVisualizations of various one-dimensional smoothers using the d3 javascript library.
Stars: β 18 (-64%)
neptune-clientπ Experiment tracking tool and model registry
Stars: β 348 (+596%)
MOSFiTModular Open Source Fitter for Transients
Stars: β 27 (-46%)
kaggle-airbnbπ Where will a new guest book their first travel experience?
Stars: β 53 (+6%)
PlanetaryImagerQt capture software for astronomy, mainly planetary shooting
Stars: β 45 (-10%)
fritzAstronomical data platform for the Zwicky Transient Facility.
Stars: β 20 (-60%)
lightgbmExplainerAn R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExplainer)
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allsky-portalA simple, responsive web interface to control an allsky camera connected to a Raspberry Pi
Stars: β 28 (-44%)
kaggleKaggle solutions
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astrobookThe Astrobook source files
Stars: β 32 (-36%)
ephemeris-compute-de405A command-line tool for producing tables of the positions of solar system objects over time.
Stars: β 14 (-72%)
AstroTime.jlAstronomical time keeping in Julia
Stars: β 32 (-36%)
data-visualization-deck-glA experiment to visualize Tree in NewYork and Flight record data. Using Deck.gl and Kaggle
Stars: β 54 (+8%)
Algorithmml & dl & kaggle
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planisphereMake your own cardboard model planisphere
Stars: β 28 (-44%)
stackgbmπ³ Stacked Gradient Boosting Machines
Stars: β 24 (-52%)
Kaggle-Quora-Question-PairsThis is our team's solution report, which achieves top 10% (305/3307) in this competition.
Stars: β 58 (+16%)
Messier87A realtime raytracing blackhole renderer
Stars: β 53 (+6%)
kuzushiji-recognitionKuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.
Stars: β 16 (-68%)
sbpyA Python package for small bodies research
Stars: β 60 (+20%)
lux-ai-2021My published benchmark for a Kaggle Simulations Competition
Stars: β 29 (-42%)