minhtannguyen / transformer-mgkLinks
This is the public github for our paper "Transformer with a Mixture of Gaussian Keys"
☆28Updated 3 years ago
Alternatives and similar repositories for transformer-mgk
Users that are interested in transformer-mgk are comparing it to the libraries listed below
Sorting:
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆63Updated 3 years ago
 - Curse-of-memory phenomenon of RNNs in sequence modelling☆18Updated 5 months ago
 - PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆78Updated 2 years ago
 - [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆33Updated 2 years ago
 - Code for the PAPA paper☆27Updated 2 years ago
 - ☆81Updated last year
 - Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
 - ☆38Updated last year
 - ☆16Updated 2 years ago
 - Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆123Updated 4 years ago
 - Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
 - PyTorch implementation of FNet: Mixing Tokens with Fourier transforms☆28Updated 4 years ago
 - HGRN2: Gated Linear RNNs with State Expansion☆55Updated last year
 - Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
 - Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
 - ☆23Updated last year
 - Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆46Updated last year
 - Layerwise Batch Entropy Regularization☆23Updated 3 years ago
 - Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
 - The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated 4 months ago
 - Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
 - ☆19Updated 2 years ago
 - A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 3 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
 - ☆42Updated 5 years ago
 - ☆52Updated last year
 - Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆54Updated 4 years ago
 - [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆65Updated last year
 - Implementation of Zorro, Masked Multimodal Transformer, in Pytorch☆96Updated 2 years ago
 - Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆15Updated 9 months ago