jkalogero / scalegmnLinks
[NeurIPS'24 Oral] Official repository for the paper "Scale Equivariant Graph Metanetworks"
☆23Updated last year
Alternatives and similar repositories for scalegmn
Users that are interested in scalegmn are comparing it to the libraries listed below
Sorting:
- Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to lat…☆63Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆87Updated 3 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆39Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆188Updated 9 months ago
- Code release for the paper Generative Modeling With Inverse Heat Dissipation☆79Updated 2 years ago
- NF-Layers for constructing neural functionals.☆91Updated last year
- Modern Fixed Point Systems using Pytorch☆122Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆40Updated last year
- Transformers with doubly stochastic attention☆50Updated 3 years ago
- ☆187Updated last year
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆183Updated 4 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆150Updated 3 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆211Updated last year
- PyTorch implementation of Variational Diffusion Models.☆100Updated last year
- A Tutorial for Diffusion Models☆60Updated 2 years ago
- ☆14Updated 2 years ago
- ☆158Updated last year
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- Score-based generative models for compact manifolds☆116Updated last year
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆83Updated last year
- PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS☆31Updated 5 years ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆29Updated 8 months ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- Official implementation of Metric Flow Matching (NeurIPS 2024)☆56Updated 3 months ago
- [ICLR'25] Artificial Kuramoto Oscillatory Neurons☆105Updated last month
- Code for the paper: Rotating Features for Object Discovery☆53Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆27Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated last year
- ☆34Updated 3 months ago