Rose-STL-Lab / LieGAN
☆33Updated last year
Alternatives and similar repositories for LieGAN:
Users that are interested in LieGAN are comparing it to the libraries listed below
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆49Updated 6 months ago
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆46Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- ☆51Updated 8 months ago
- Generative Equilibrium Transformer☆17Updated last year
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 3 months ago
- Code for https://arxiv.org/abs/2406.04329☆58Updated 2 months ago
- Code of "Deep invariant networks with differentiable augmentation layers"☆18Updated 2 years ago
- Code for the paper: Rotating Features for Object Discovery☆50Updated 6 months ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆59Updated 2 years ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆57Updated last year
- Implementation of a holodeck, written in Pytorch☆17Updated last year
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆31Updated 5 months ago
- Deep Networks Grok All the Time and Here is Why☆27Updated 9 months ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆87Updated last year
- Official repository of "Spontaneous symmetry breaking in generative diffusion models"☆42Updated 9 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated last month
- Official code for the paper: "Metadata Archaeology"☆19Updated last year
- Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]☆13Updated 9 months ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆77Updated 6 months ago
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆46Updated last year
- Utilities for PyTorch distributed☆23Updated last year
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆28Updated 11 months ago
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]☆18Updated last month
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆85Updated last year
- ☆23Updated this week
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆53Updated 2 years ago
- Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"☆10Updated 2 years ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆44Updated last week