fkodom / soft-mixture-of-expertsLinks
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
Alternatives and similar repositories for soft-mixture-of-experts
Users that are interested in soft-mixture-of-experts are comparing it to the libraries listed below
Sorting:
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated last year
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆88Updated last year
- Implementation of Infini-Transformer in Pytorch☆113Updated 9 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆99Updated last year
- Implementation of Zorro, Masked Multimodal Transformer, in Pytorch☆96Updated 2 years ago
- PyTorch implementation of "From Sparse to Soft Mixtures of Experts"☆64Updated 2 years ago
- ☆186Updated last year
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆331Updated 6 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆55Updated 2 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated 2 years ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆52Updated 2 years ago
- Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"☆56Updated last year
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆129Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆55Updated last year
- ☆105Updated last year
- A repository for DenseSSMs☆89Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆31Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆31Updated 2 years ago
- Implementation of Agent Attention in Pytorch☆91Updated last year
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆59Updated 10 months ago
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆68Updated last year
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆123Updated 4 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆63Updated 3 years ago
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆108Updated this week
- ☆53Updated 2 years ago
- MambaFormer in-context learning experiments and implementation for https://arxiv.org/abs/2402.04248☆57Updated last year
- ☆86Updated last year
- AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers☆47Updated 3 years ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year