nperraud / 3DcosmoGANLinks
☆14Updated last year
Alternatives and similar repositories for 3DcosmoGAN
Users that are interested in 3DcosmoGAN are comparing it to the libraries listed below
Sorting:
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Updated 5 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Use Bayesian CNN and Active Learning to Scale Galaxy Zoo (public)☆19Updated 6 years ago
- Lectures on Bayesian statistics and information theory☆31Updated last month
- An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval☆11Updated 6 years ago
- Code for the Density Deconvolution with Normalizing Flows paper.☆12Updated 5 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆18Updated 2 years ago
- A pytorch version of hamiltonian monte carlo☆14Updated 6 years ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆109Updated last year
- ☆23Updated 6 years ago
- Hamiltonain Monte Carlo in Python☆40Updated 5 years ago
- A simple MCMC framework for training Gaussian processes adding functionality to GPy.☆21Updated 10 years ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 2 years ago
- Neural network nested and MCMC sampling☆22Updated 3 years ago
- My CV☆37Updated this week
- Tutorial Code for MLHEP pyprob☆18Updated last year
- Deep learning strong lens finder☆25Updated 7 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated last week
- ☆28Updated 2 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆37Updated 2 years ago
- Some notes about MCMC☆44Updated 7 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- A GAN for the generation of mock astronomical surveys☆22Updated 6 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- python-based shapelet decomposition package☆26Updated 8 years ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Python MCMC Sampler☆33Updated 3 months ago