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The Multi-Mission Maximum Likelihood framework (3ML)
Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics
The Likelihood Fitting Framework (LiFF) for the high-level analysis of sky map data collected by the HAWC Observatory. It is packaged into a compact version of the HAWC software framework AERIE.
AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)
Train and Apply machine learning models on IACT data
Adversarially Learned Inference
Experimental optical character recognition app
Code used to study the cosmic-ray anisotropy using IceCube
A vision library for genicam based cameras
Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training
Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & Machine Learning
Deep learning model to classify astronomical images
Paper describing astroquery
Speedy Cosmic Ray Annihilation Package in Python
A P-Pdot diagram of known pulsars, RRATs, and magnetars
A curated list of resources dedicated to scene text localization and recognition
Basic interactivity for 3D scatter plotting in Matplotlib
Your computer is a cosmic ray detector. Literally.
UC Berkeley's software and documentation for Breakthrough Listen data
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Final Project of Udacity's Machine Learning Nanodegree
A version of cernlib modified slightly to make compilation a little easier.
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
CLASH demo for M. Pérez-Carrasco, G. Cabrera-Vives, M. Martinez-Marín , P. Cerulo, R. Demarco, P. Protopapas, J. Godoy, and M. Huertas-Company, “Visual-like morphologies of galaxies in CLASH: a deep neural network classification with priors from CANDELS”, Manuscript submitted to Publications of the Astronomical Society of the Pacific.
Python composable command line interface toolkit
ECG Classification
Our web interface and data collection software for Raspberry Pi
Our website
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
CTA Low-level Data Processing Pipeline Prototype
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.