davidnabergoj / torchflowsLinks
Modern normalizing flows in Python. Simple to use and easily extensible.
☆11Updated 3 weeks ago
Alternatives and similar repositories for torchflows
Users that are interested in torchflows are comparing it to the libraries listed below
Sorting:
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆25Updated last year
- A Jax wrapper for cudaKDTree☆10Updated last year
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆18Updated last year
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆20Updated last year
- Gradient Based Nested Sampling☆20Updated last year
- Differentiable cosmological emulators: the JAX version of CosmoPower☆39Updated 2 weeks ago
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated 2 years ago
- Special functions in Jax☆14Updated 3 months ago
- Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.☆13Updated 4 months ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆18Updated last week
- An experiment: emcee implemented in JAX☆25Updated 2 years ago
- GW polarization parameterizations and corresponding Jacobians.☆11Updated last year
- Gravitational-wave data analysis tools in Jax☆71Updated 2 weeks ago
- Exploring how ChatGPT can be used to accelerate research in cosmology.☆12Updated 2 years ago
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last month
- Investigating the information content in the cosmic web through dark matter halo graphs. Arxiv paper: https://arxiv.org/abs/2207.05202☆13Updated last year
- ☆27Updated last year
- JAX bindings for the NVIDIA cuDecomp library☆37Updated 2 weeks ago
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated last week
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated last year
- ☆16Updated 4 years ago
- JAX + Units☆47Updated 2 months ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 2 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 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
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆20Updated last year
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆68Updated 2 weeks ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆31Updated last month
- A JAX-based gaussian process structure learning package for time series modelling.☆19Updated 3 weeks ago
- Benchmarking field-level cosmological inference from galaxy surveys.☆10Updated last month