martin-marek / mini-hmc-jax
A simple implementation of Hamiltonian Monte Carlo in JAX.
☆18Updated last year
Alternatives and similar repositories for mini-hmc-jax:
Users that are interested in mini-hmc-jax are comparing it to the libraries listed below
- Generative models with JAX.☆17Updated 3 months ago
- ☆24Updated last year
- Simulation-based inference in JAX☆31Updated this week
- Stainless neural networks in JAX☆34Updated 3 weeks ago
- Probabilistic modeling of tabular data with normalizing flows.☆56Updated 2 weeks ago
- Gradient Based Nested Sampling☆20Updated last year
- Things that make me feel productive☆14Updated 2 years ago
- Differentiable and accelerated wavelet transform on the sphere with JAX☆17Updated last year
- Normalizing Flows using JAX☆83Updated last year
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆19Updated last year
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 2 years ago
- Code for Gaussian Score Matching Variational Inference☆33Updated last month
- Fast, lightweight and parallelised simulation-based inference in JAX.☆17Updated last week
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆18Updated last year
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆23Updated 11 months ago
- Gaussian Mixture Models in Jax☆17Updated 2 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated 10 months ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated last year
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆36Updated 2 years ago
- MCHMC: sampler from an arbitrary differentiable distribution☆72Updated last month
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Conditional density estimation with neural networks☆30Updated 2 months ago
- Modern normalizing flows in Python. Simple to use and easily extensible.☆11Updated last week
- ☆19Updated 3 years ago
- ☆52Updated 2 years ago
- ☆13Updated last year
- Stencil computations in JAX☆70Updated last year
- A Jax wrapper for cudaKDTree☆10Updated last year
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 3 months ago
- JAX bindings for the NVIDIA cuDecomp library☆32Updated last week