Joshuaalbert / jaxnldsLinks
Inference on non-linear dynamical systems written in JAX
☆11Updated 4 years ago
Alternatives and similar repositories for jaxnlds
Users that are interested in jaxnlds are comparing it to the libraries listed below
Sorting:
- ☆80Updated 3 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 9 months ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Public Release of Plan2vec Implementation in pyTorch☆56Updated 2 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28Updated 6 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- ☆20Updated 3 years ago
- ☆49Updated 4 years ago
- The differentiable OSQP solver layer for PyTorch☆62Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Updated 6 years ago
- A LinearOperator implementation for PyTorch☆18Updated 4 years ago
- Dive into Jax, Flax, XLA and C++☆31Updated 5 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- ☆24Updated 6 years ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 7 years ago
- ☆18Updated 3 years ago