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Universidad de los Andes
- Bogota
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19:45
(UTC -05:00)
Stars
NEC2++ is a C++ rewrite of the Numerical Electromagnetics Code (NEC-2) with many new features like automatic error detection when you specify the structure incorrectly and much faster execution. Ne…
High-Performance Symbolic Regression in Python and Julia
GPU Programming with C++ and CUDA, published by Packt
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
Official repository for 21cmFAST: a code for generating fast simulations of the cosmological 21cm signal
Machine learning, statistics, and data mining for astronomy and astrophysics
All Algorithms implemented in Python
Unsupervised clustering method for stellar clusters.
Conditional GAN for generating synthetic tabular data.
Tutorial Jupyter Notebooks maintained by the Rubin Observatory Community Science Team.
All code necessary for reconstructing Bonsai-trees on high-dimensional data and visualizing them in Bonsai-scout
💫 Industrial-strength Natural Language Processing (NLP) in Python
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has …
Modeling stellar photometry with "brute force" methods
Place for user-contributed code that use APOGEE-2 data (and data models) to do common user tasks.
Bayesian neural network using Pyro and PyTorch on MNIST dataset
Stellar Photometric Index Network eXplorer
Bayesian Methods in Astronomy workshop, presented at AAS227
Tutorials for the "Gaia Sprint" workshop. See also http://gaia.lol
Simple N-body code for Python (backend is in C for speed) with BH tree and direct summation options.
Multivariate Local Polynomial Regression and Radial Basis Function Regression
A python package to download PADOVA isochrones. Original code: https://github.com/mfouesneau/ezpadova
PyTorch implementation of bayesian neural network [torchbnn]
We illustrate the usage of a forward model using the latest parsec isochrones with emcee to infer stellar parameters for single and binary stars
Code for the online course "Deployment of Machine Learning Models"