hep-lbdl / CaloGANLinks
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
☆110Updated last year
Alternatives and similar repositories for CaloGAN
Users that are interested in CaloGAN are comparing it to the libraries listed below
Sorting:
- Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Phys…☆61Updated 7 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- Python code to replicate the results on HIGGS and SUSY benchmarks using pylearn2 and theano.☆62Updated 9 years ago
- Machine Learning for High Energy Physics.☆188Updated 2 weeks ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- Code repository for the paper "Constraining Effective Field Theories with Machine Learning"☆21Updated 5 years ago
- Introduction to root_numpy, pandas, Keras in simple Deep Learning application at CERN☆47Updated 7 years ago
- Main repository for image generation and CNN training https://arxiv.org/abs/1609.00607☆24Updated 5 years ago
- light NN client☆110Updated 8 months ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- A probabilistic programming framework based on TensorFlow☆86Updated 6 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 6 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆85Updated last year
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 6 years ago
- Distributed learning with mpi4py☆48Updated 6 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
- MLHEP 2017 slides & seminars☆26Updated 7 years ago
- Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"☆16Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 2 years ago
- Upstream optimisation for downstream inference☆69Updated 3 weeks ago
- Machine learning–based inference toolkit for particle physics☆87Updated 8 months ago
- ☆9Updated 7 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Autograd extension for forward mode autodiff☆30Updated 7 years ago