nperraud / 3DcosmoGANLinks
☆14Updated 2 years ago
Alternatives and similar repositories for 3DcosmoGAN
Users that are interested in 3DcosmoGAN are comparing it to the libraries listed below
Sorting:
- Use Bayesian CNN and Active Learning to Scale Galaxy Zoo (public)☆19Updated 6 years ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆110Updated last year
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Updated 5 years ago
- Deep learning strong lens finder☆25Updated 7 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Tutorial Code for MLHEP pyprob☆18Updated 2 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Phys…☆61Updated 8 years ago
- A spherical convolutional neural network for cosmology (TFv1).☆133Updated 4 years ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Starter Kit for the Photometric LSST Astronomical Time-series Classification Challenge☆49Updated 2 years ago
- A Discussion on Solving Partial Differential Equations using Neural Networks☆66Updated 6 years ago
- ☆73Updated 5 years ago
- Upstream optimisation for downstream inference☆70Updated this week
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆241Updated last year
- Proximal optimization in pure python☆118Updated 3 years ago
- Code for the Density Deconvolution with Normalizing Flows paper.☆12Updated 5 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 6 years ago
- A pytorch version of hamiltonian monte carlo☆15Updated 6 years ago
- Neural reparameterization improves structural optimization☆125Updated 4 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 2 weeks ago
- Implementation of the CWoLa Hunting strategy for dijet resonances☆18Updated 4 years ago
- Kernel Density Estimation and (re)sampling☆62Updated 2 years ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control…☆46Updated 6 months ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Python code to replicate the results on HIGGS and SUSY benchmarks using pylearn2 and theano.☆63Updated 9 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago