mcbal / afemLinks
Implementation of approximate free-energy minimization in PyTorch
☆19Updated 3 years ago
Alternatives and similar repositories for afem
Users that are interested in afem are comparing it to the libraries listed below
Sorting:
- Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX☆41Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- ☆56Updated 3 months ago
- ☆52Updated 2 years ago
- Exact OU processes with JAX☆50Updated 4 months ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- Implementation of Action Matching☆44Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated last year
- Riemannian Optimization Using JAX☆51Updated last year
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.☆34Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- ☆52Updated last year
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆30Updated 2 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆56Updated 2 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- ☆20Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆21Updated last year
- A collection of graph neural networks implementations in JAX☆33Updated last year
- Scalable training and inference for Probabilistic Circuits☆70Updated 2 weeks ago
- A generic interface for linear algebra backends☆73Updated 5 months ago
- Normalizing Flows using JAX☆84Updated last year
- ☆19Updated 3 years ago