SpaceML / GalaxyGAN
☆22Updated 7 years ago
Alternatives and similar repositories for GalaxyGAN:
Users that are interested in GalaxyGAN are comparing it to the libraries listed below
- MCMC package for Bayesian data analysis☆58Updated 7 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
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆51Updated 4 years ago
- Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.☆48Updated 8 years ago
- A Python MPI Pool☆17Updated 4 years ago
- python-based shapelet decomposition package☆26Updated 8 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- A probabilistic programming framework based on TensorFlow☆86Updated 6 years ago
- Variational Inference for a Normal Distribution☆12Updated 7 years ago
- Kaggle Seizure Prediction Competition☆21Updated 8 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 8 years ago
- ☆13Updated 8 years ago
- Distributed learning with mpi4py☆48Updated 5 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"☆16Updated 6 years ago
- Modified version of the YellowFin optimizer for TensorFlow to work with the Keras API [not actively maintained]☆16Updated 7 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 8 years ago
- ☆30Updated 4 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- Flow-based data pre-processing for deep learning☆31Updated 4 years ago
- Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU☆48Updated 3 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- ☆19Updated 7 years ago
- Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow☆55Updated 7 years ago
- Various notebooks and tutorials on subjects of interest.☆36Updated 4 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago