maxxxzdn / implicit-steerable-kernels
Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.
☆28Updated 11 months ago
Alternatives and similar repositories for implicit-steerable-kernels:
Users that are interested in implicit-steerable-kernels are comparing it to the libraries listed below
- Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"☆46Updated 6 months ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Lie Algebra Convolutional Network implementation☆42Updated 3 years ago
- Implementation of Action Matching☆38Updated last year
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆38Updated 3 weeks ago
- Stochastic Normalizing Flows☆75Updated 3 years ago
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆21Updated 2 weeks ago
- ICML23 "Latent Traversals in Generative Models as Potential Flows"☆26Updated last year
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Implementation of papers in 101 lines of code.☆18Updated last year
- ☆16Updated 2 years ago
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆16Updated last month
- Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]☆13Updated 9 months ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆29Updated last year
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆28Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆23Updated last year
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆29Updated 10 months ago
- Fork of the E2CNN library that adds support for equivariant partial differential operators☆17Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- ☆32Updated 8 months ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆23Updated last year
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 3 months ago
- Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…☆29Updated 4 years ago
- ☆18Updated 11 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆79Updated 8 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆54Updated 11 months ago