google-research / gpaxLinks
☆30Updated 9 months ago
Alternatives and similar repositories for gpax
Users that are interested in gpax are comparing it to the libraries listed below
Sorting:
- Pre-trained Gaussian processes for Bayesian optimization☆92Updated 2 months ago
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- Turn jitted jax functions back into python source code☆22Updated 6 months ago
- Riemannian Optimization Using JAX☆49Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Normalizing Flows using JAX☆83Updated last year
- ☆52Updated 2 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 5 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- ☆80Updated 3 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- Matrix-free linear algebra in JAX.☆125Updated last month
- Multiple dispatch over abstract array types in JAX.☆125Updated last week
- ☆34Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated 2 months ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.☆31Updated 2 months ago
- Tools for JAX☆47Updated last week
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- Gradient-based constrained optimization for JAX☆32Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- Library for normalizing flows and neural flows.☆24Updated 3 years ago
- [ICLR 2022] Path integral sampler☆46Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆54Updated last month