archinetai / difformer-pytorchLinks
Diffusion based transformer, in PyTorch (Experimental).
☆24Updated 3 years ago
Alternatives and similar repositories for difformer-pytorch
Users that are interested in difformer-pytorch are comparing it to the libraries listed below
Sorting:
- ☆38Updated last year
- Bayesian Attention Modules☆36Updated 5 years ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆126Updated 5 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆44Updated 3 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆65Updated 2 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated 6 months ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 6 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- PyTorch implementation of FNet: Mixing Tokens with Fourier transforms☆28Updated 4 years ago
- [ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling☆67Updated 3 years ago
- Official code for the paper: "Metadata Archaeology"☆19Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2024☆47Updated 8 months ago
- This is the public github for our paper "Transformer with a Mixture of Gaussian Keys"☆28Updated 3 years ago
- ☆23Updated 11 months ago
- TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectivene…☆126Updated 3 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- AdaCat☆49Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- Code for the paper PermuteFormer☆42Updated 4 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- This is the official implementation for Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.☆32Updated 2 years ago
- Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper☆13Updated 3 years ago
- Experiment with diffusion models that you can run on your local jupyter instances☆63Updated last year
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- Spectral Attention Autoregressive Model (SAAM)☆16Updated 3 years ago
- Code to reproduce the results for Compositional Attention☆59Updated 3 years ago
- Toloka Visual Question Answering Challenge at WSDM Cup 2023☆31Updated last year