Alternatives and similar repositories for afem

Users that are interested in afem are comparing it to the libraries listed below

• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated 2 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• mcbal / spin-model-transformers
  Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
  ☆41Updated last year
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated 10 months ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 2 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• google-research / discs
  DISCS: The code base for the Benchmark for Discrete Sampling
  ☆56Updated 8 months ago
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• mcbal / deep-implicit-attention
  Implementation of deep implicit attention in PyTorch
  ☆65Updated 3 years ago
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆17Updated 4 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆76Updated 3 years ago
• normal-computing / thermox
  Exact OU processes with JAX
  ☆43Updated last month
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• jemisjoky / umps_code
  u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…
  ☆19Updated 4 years ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆32Updated 4 years ago
• ruqizhang / discrete-langevin
  ☆34Updated 2 years ago
• alexOarga / haiku-geometric
  A collection of graph neural networks implementations in JAX
  ☆32Updated last year
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆30Updated last year
• maxxxzdn / jax-geometric
  Implementation of various equivariant models in JAX
  ☆12Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆41Updated last year
• necludov / wl-mechanics
  ☆32Updated 11 months ago
• aradha / recursive_feature_machines
  ☆49Updated last month
• priyankjaini / discFlowMH
  Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
  ☆12Updated 4 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆43Updated 4 years ago
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆24Updated last year
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 3 years ago