SpaceML / GalaxyGAN_python
This project is the implementation of "Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit" in python.
☆85Updated 6 years ago
Alternatives and similar repositories for GalaxyGAN_python:
Users that are interested in GalaxyGAN_python are comparing it to the libraries listed below
- ☆22Updated 7 years ago
- MCMC package for Bayesian data analysis☆58Updated 7 years ago
- A GAN for the generation of mock astronomical surveys☆22Updated 6 years ago
- Deep Learning for Astronomers with Keras☆197Updated 4 months ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆108Updated 11 months ago
- Deep learning for the automated spectral classification of supernovae☆38Updated 2 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- Deep Learning for IACT Event Reconstruction☆54Updated this week
- estimating parameters of strong gravitational lenses with convolutional neural networks☆41Updated 7 years ago
- Some notes about MCMC☆44Updated 7 years ago
- MiraPy: A Python package for Deep Learning in Astronomy☆45Updated 4 years ago
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆51Updated 4 years ago
- Starter Kit for the Photometric LSST Astronomical Time-series Classification Challenge☆49Updated last year
- a data-driven method for determining stellar parameters and abundances from stellar spectra☆41Updated 7 years ago
- Bayesian Methods in Astronomy workshop, presented at AAS227☆120Updated 8 years ago
- Source for our paper on multiband periodograms.☆32Updated 5 years ago
- Deep learning strong lens finder☆24Updated 7 years ago
- A tool for creating catterplots in Python with matplotlib☆53Updated 3 years ago
- Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Phys…☆61Updated 7 years ago
- Materials for the 2015 Astro Hack Week☆34Updated 9 years ago
- ClaRAN: A deep learning classifier for radio morphologies☆36Updated 3 years ago
- ☆16Updated 4 years ago
- Resources for Bayesian Models for Astrophysical Data - Hilbe, de Souza and Ishida, 2016, Cambridge University Press☆47Updated 2 years ago
- A non-traditional TensorFlow tutorial☆49Updated 4 years ago
- ☆14Updated last year
- The Tractor: measuring astronomical sources via probabilistic inference☆87Updated last week
- Materials for the 2016 Astro Hack Week☆24Updated 8 years ago
- Star-galaxy Classification Using Deep Convolutional Neural Networks☆34Updated 8 years ago
- Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data☆80Updated 5 months ago
- 📡 Foregrounds Simulation for EoR 21 cm Signal Detection 📡☆15Updated 2 years ago