SpaceML / GalaxyGANLinks
☆22Updated 7 years ago
Alternatives and similar repositories for GalaxyGAN
Users that are interested in GalaxyGAN are comparing it to the libraries listed below
Sorting:
- Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets☆12Updated 5 years ago
- MCMC package for Bayesian data analysis☆59Updated 8 years ago
- This project is the implementation of "Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the de…☆85Updated 6 years ago
- Variational Inference for a Normal Distribution☆12Updated 7 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆51Updated 4 years ago
- A probabilistic programming framework based on TensorFlow☆86Updated 6 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- A Cython interface to FLANN☆24Updated 4 years ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆109Updated 11 months ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 8 years ago
- python-based shapelet decomposition package☆26Updated 8 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- Likelihood-free inference toolbox.☆57Updated 8 years ago
- Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"☆16Updated 6 years ago
- Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.☆48Updated 8 years ago
- Learning to Discover Efficient Mathematical Identities☆48Updated 10 years ago
- Kaggle Seizure Prediction Competition☆21Updated 8 years ago
- Starter Kit for the Photometric LSST Astronomical Time-series Classification Challenge☆49Updated last year
- Implements an infinite sum of poisson-weighted convolutions☆26Updated 6 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Deep learning strong lens finder☆25Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Solution to LSST-PLAsTiCC photometric transient classification challenge☆18Updated 6 years ago
- Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU☆48Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 8 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago