davidnabergoj / torchflowsLinks
Modern normalizing flows in Python. Simple to use and easily extensible.
☆11Updated last week
Alternatives and similar repositories for torchflows
Users that are interested in torchflows are comparing it to the libraries listed below
Sorting:
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆21Updated last year
- Gravitational-wave data analysis tools in Jax☆74Updated last week
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆19Updated 2 years ago
- Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.☆13Updated 6 months ago
- Differentiable Gravitational Waveforms with JAX☆60Updated last month
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆25Updated last year
- Special functions in Jax☆15Updated 5 months ago
- Gradient Based Nested Sampling☆20Updated last year
- Differentiable cosmological emulators: the JAX version of CosmoPower☆40Updated 2 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 2 months ago
- ☆27Updated last year
- 🐈 Differentiable Spectrum Modeling of Exoplanets and Brown Dwarfs☆62Updated this week
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆34Updated 2 weeks ago
- An experiment: emcee implemented in JAX☆26Updated 3 years ago
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated 3 months ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆73Updated 4 months ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆18Updated 2 weeks ago
- Neural network nested and MCMC sampling☆22Updated 3 years ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆69Updated 2 months ago
- Bayesian Jenaer software☆22Updated 9 months ago
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last month
- nessai: Nested Sampling with Artificial Intelligence☆40Updated 2 months ago
- Fast Inference for GW Astronomy, Research and Observations☆20Updated 2 weeks ago
- Package for data-driven and phenomenological gravitational waveform models☆13Updated 6 months ago
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆27Updated 2 years ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)☆38Updated 2 weeks ago
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆58Updated last year
- A differentiable cosmology library in JAX☆212Updated 2 months ago