Alternatives and similar repositories for functa:

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

• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆68Updated last year
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆142Updated 3 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆84Updated last year
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆148Updated last year
• google-research / vdm
  ☆312Updated 2 years ago
• EmilienDupont / coinpp
  Pytorch implementation of COIN++ 🍁
  ☆71Updated 2 years ago
• yinboc / trans-inr
  Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022
  ☆151Updated 2 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆110Updated last year
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆219Updated last year
• Kinyugo / consistency_models
  A mini-library for training consistency models.
  ☆242Updated last year
• fwilliams / scalable-pytorch-sinkhorn
  ☆149Updated 2 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆50Updated 8 months ago
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆91Updated 2 years ago
• jihoontack / GradNCP
  Learning Large-scale Neural Fields via Context Pruned Meta-Learning (NeurIPS 2023)
  ☆25Updated last year
• min-hieu / Tutorial_4
  A Tutorial for Diffusion Models
  ☆49Updated last year
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆197Updated last year
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆80Updated last year
• yilundu / reduce_reuse_recycle
  ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC
  ☆140Updated 6 months ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆93Updated 3 years ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆201Updated 2 years ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆89Updated last year
• malbergo / stochastic-interpolants
  ☆140Updated last year
• smsharma / consistency-models
  Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.
  ☆20Updated last year
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆68Updated 2 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆61Updated 2 years ago
• louaaron / Reflected-Diffusion
  [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
  ☆158Updated last year
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆133Updated 2 years ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆147Updated 5 years ago
• nv-tlabs / GENIE
  GENIE: Higher-Order Denoising Diffusion Solvers
  ☆94Updated last year
• cvpr2023-tutorial-diffusion-models / papers
  ☆210Updated last year