Alternatives and similar repositories for functa

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

• jihoontack / GradNCP
  Learning Large-scale Neural Fields via Context Pruned Meta-Learning (NeurIPS 2023)
  ☆27Updated 2 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆91Updated last year
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆122Updated 2 years ago
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆79Updated 2 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆151Updated last year
• yinboc / trans-inr
  Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022
  ☆158Updated 3 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆53Updated last year
• fwilliams / scalable-pytorch-sinkhorn
  ☆162Updated 3 years ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆103Updated this week
• wpeebles / G.pt
  Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"
  ☆344Updated 3 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆150Updated 3 years ago
• lucidrains / recurrent-interface-network-pytorch
  Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in P…
  ☆204Updated last year
• louaaron / Reflected-Diffusion
  [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
  ☆158Updated 2 years ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆208Updated 2 years ago
• google-research / vdm
  ☆326Updated 3 years ago
• yilundu / reduce_reuse_recycle
  ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC
  ☆146Updated last year
• samuelepapa / neural-field-arena
  ☆12Updated last year
• EmilienDupont / coinpp
  Pytorch implementation of COIN++ 🍁
  ☆74Updated 3 years ago
• cvpr2023-tutorial-diffusion-models / papers
  ☆212Updated 2 years ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆198Updated 2 years ago
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆90Updated 2 years ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆69Updated 2 years ago
• locuslab / deq-ddim
  ☆63Updated 2 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• VSehwag / minimal-diffusion
  A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
  ☆299Updated last year
• vsitzmann / neural-isometries
  Official JAX implementation of neural isometries - taming transformations for equivariant ML
  ☆36Updated 3 months ago
• CVLAB-Unibo / inr2vec
  Deep Learning on Implicit Neural Representations of Shapes (ICLR 2023)
  ☆57Updated last year
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆40Updated last year