sc782 / SBM-Transformer
☆13Updated last year
Alternatives and similar repositories for SBM-Transformer:
Users that are interested in SBM-Transformer are comparing it to the libraries listed below
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆16Updated 6 months ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆29Updated 10 months ago
- Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper☆9Updated 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
- [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.☆16Updated last year
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆9Updated last year
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆62Updated 2 years ago
- Pytorch implementation of neural processes and variants☆27Updated 6 months ago
- ☆23Updated 4 months ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆34Updated last year
- ☆22Updated 3 years ago
- ☆15Updated last year
- Bayesian Attention Modules☆35Updated 4 years ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated last week
- ☆9Updated last year
- Simple illustrative examples for energy-based models in PyTorch☆61Updated 5 years ago
- ☆15Updated last year
- Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)☆38Updated 11 months ago
- ☆28Updated 3 months ago
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆14Updated 8 months ago
- Learning energy decompositions for partial inference in GFlowNets☆15Updated 8 months ago
- An annotated implementation of the Hyena Hierarchy paper☆32Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆81Updated last year
- Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.☆20Updated last year
- ☆15Updated 9 months ago
- MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248☆36Updated 8 months ago
- Code to reproduce the results for Compositional Attention☆60Updated 2 years ago
- Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)☆61Updated 6 months ago
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆31Updated 5 months ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year