akbir / deq-jaxLinks
[NeurIPS'19] Deep Equilibrium Models Jax Implementation
☆40Updated 4 years ago
Alternatives and similar repositories for deq-jax
Users that are interested in deq-jax are comparing it to the libraries listed below
Sorting:
- ☆80Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Convex potential flows☆84Updated 3 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆207Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- ☆106Updated last year
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- ☆24Updated 6 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆10Updated 4 years ago
- Riemannian Optimization Using JAX☆52Updated last year
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Normalizing Flows using JAX☆84Updated last year
- ☆50Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Updated 2 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Inference on non-linear dynamical systems written in JAX☆11Updated 5 years ago
- A JAX implementation of stochastic addition.☆14Updated 3 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 8 months ago
- ☆22Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 11 months ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆15Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago