Alternatives and similar repositories for graph_metanetworks

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

• jkalogero / scalegmn
  [NeurIPS'24 Oral] Official repository for the paper "Scale Equivariant Graph Metanetworks"
  ☆23Updated last year
• lucmos / relreps
  Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to lat…
  ☆64Updated 2 years ago
• autonomousvision / akorn
  [ICLR'25] Artificial Kuramoto Oscillatory Neurons
  ☆106Updated last month
• malbergo / stochastic-interpolants
  ☆196Updated last year
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆53Updated last year
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆428Updated 2 weeks ago
• april-tools / squared-npcs
  Squared Non-monotonic Probabilistic Circuits
  ☆23Updated 10 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆276Updated last year
• ege-erdogan / awesome-weight-space-learning
  Awesome papers on weight-space learning
  ☆33Updated 7 months ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆125Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆50Updated 3 years ago
• maxvanspengler / hyperbolic_learning_library
  An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
  ☆174Updated 11 months ago
• google-deepmind / functa
  ☆158Updated last year
• lrnzgiusti / awesome-topological-deep-learning
  A curated list of topological deep learning (TDL) resources and links.
  ☆269Updated last month
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆117Updated last year
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆215Updated 2 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆80Updated last year
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆84Updated last year
• ml-postech / GM-VAE
  Official PyTorch implementation of "Hyperbolic VAE via Latent Gaussian Distributions"
  ☆23Updated 2 years ago
• rbalestr-lab / stable-pretraining
  Reliable, minimal and scalable library for pretraining foundation and world models
  ☆107Updated 3 weeks ago
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆300Updated last week
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆151Updated 4 years ago
• alexdenker / DEFT
  Implementation of DEFT as a fork of RED-diff.
  ☆14Updated last year
• david-knigge / enf-min-jax
  A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).
  ☆25Updated 3 weeks ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆41Updated last year
• pyt-team / TopoModelX
  Topological Deep Learning
  ☆302Updated this week
• lebellig / discrete-fm
  Educational implementation of the Discrete Flow Matching paper
  ☆126Updated last year
• psanch21 / causal-flows
  ☆52Updated last year
• dbaieri / PyGMI
  A PyTorch-based neural implicit geometry toolbox.
  ☆16Updated 3 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆70Updated 2 years ago