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:
- Deep learning strong lens finder☆25Updated 7 years ago
- A Discussion on Solving Partial Differential Equations using Neural Networks☆66Updated 6 years ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆110Updated last year
- A pytorch version of hamiltonian monte carlo☆14Updated 6 years ago
- Implementation of the CWoLa Hunting strategy for dijet resonances☆18Updated 4 years ago
- A spherical convolutional neural network for cosmology (TFv1).☆133Updated 4 years ago
- Documentation:☆121Updated 2 years ago
- python-based shapelet decomposition package☆26Updated 8 years ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Phys…☆61Updated 7 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Proximal optimization in pure python☆118Updated 3 years ago
- Neural reparameterization improves structural optimization☆123Updated 3 years ago
- Numerical integration of Ito or Stratonovich SDEs☆167Updated 2 years ago
- Starter Kit for the Photometric LSST Astronomical Time-series Classification Challenge☆51Updated 2 years ago
- Bayesian algorithm execution (BAX)☆50Updated 3 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- A differentiable cosmology library in JAX☆211Updated last month
- A simple MCMC framework for training Gaussian processes adding functionality to GPy.☆20Updated 10 years ago
- My CV☆37Updated this week
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- Kernel Density Estimation and (re)sampling☆62Updated 2 years ago
- Normalizing Flows using JAX☆84Updated last year
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆238Updated last year
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- ☆30Updated 2 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆85Updated last year