mwalmsley / galaxy-zoo-bayesian-cnnLinks
Use Bayesian CNN and Active Learning to Scale Galaxy Zoo (public)
☆19Updated 6 years ago
Alternatives and similar repositories for galaxy-zoo-bayesian-cnn
Users that are interested in galaxy-zoo-bayesian-cnn are comparing it to the libraries listed below
Sorting:
- Code for the Density Deconvolution with Normalizing Flows paper.☆12Updated 4 years ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 2 years ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆36Updated 2 years ago
- Probabilistic Auto-Encoder☆42Updated 2 years ago
- Lectures on Bayesian statistics and information theory☆31Updated last week
- Probabilistic modeling of tabular data with normalizing flows.☆56Updated 2 weeks ago
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Updated 5 years ago
- A pytorch version of hamiltonian monte carlo☆14Updated 5 years ago
- Exploring how ChatGPT can be used to accelerate research in cosmology.☆12Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆18Updated 2 years ago
- Neural network nested and MCMC sampling☆22Updated 3 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆128Updated 9 months ago
- Implementations of normalizing flows using python and tensorflow☆24Updated 6 months ago
- Normalizing Flows using JAX☆83Updated last year
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆15Updated 2 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- ☆14Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆109Updated last year
- ☆26Updated last year
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆19Updated last year
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Collection of snippets for PyTorch users☆25Updated 3 years ago
- codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"☆49Updated 2 years ago
- Differentiable cosmological emulators: the JAX version of CosmoPower☆37Updated last week