google-deepmind / functaLinks
☆157Updated 11 months ago
Alternatives and similar repositories for functa
Users that are interested in functa are comparing it to the libraries listed below
Sorting:
- NF-Layers for constructing neural functionals.☆87Updated last year
- Learning Large-scale Neural Fields via Context Pruned Meta-Learning (NeurIPS 2023)☆26Updated last year
- ☆154Updated 2 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆149Updated last year
- Modern Fixed Point Systems using Pytorch☆99Updated last year
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆95Updated 4 years ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆74Updated 2 years ago
- Transformers as Meta-Learners for Implicit Neural Representations, in ECCV 2022☆154Updated 2 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆98Updated 2 weeks ago
- Pytorch implementation of COIN++ 🍁☆73Updated 3 years ago
- Code for the paper: Rotating Features for Object Discovery☆52Updated 11 months ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆144Updated 3 years ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch☆75Updated 2 years ago
- Using pre-trained Diffusion models as priors for inference tasks☆207Updated 2 years ago
- Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in P…☆204Updated last year
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆155Updated last year
- Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"☆342Updated 2 years ago
- code for "Riemannian Flow Matching on General Geometries".☆239Updated last year
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields☆68Updated 2 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- NeurIPS23 "Flow Factorized Representation Learning"☆37Updated 8 months ago
- ☆12Updated last year
- ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC☆143Updated 8 months ago
- Official code repository of "HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion" @ ICCV 2023☆194Updated last year
- Official JAX implementation of neural isometries - taming transformations for equivariant ML☆35Updated 11 months ago
- ☆320Updated 2 years ago
- Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.☆20Updated 2 years ago
- Deep Learning on Implicit Neural Representations of Shapes (ICLR 2023)☆55Updated 8 months ago
- ☆211Updated 2 years ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year