lhallee / Multi_Head_Mixture_of_Experts__MH-MOE
☆24Updated 5 months ago
Alternatives and similar repositories for Multi_Head_Mixture_of_Experts__MH-MOE:
Users that are interested in Multi_Head_Mixture_of_Experts__MH-MOE are comparing it to the libraries listed below
- The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)☆44Updated 2 weeks ago
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆85Updated last week
- PyTorch implementation of "From Sparse to Soft Mixtures of Experts"☆52Updated last year
- [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models☆72Updated last year
- Official implementation of NeurIPS 2024 "Visual Fourier Prompt Tuning"☆27Updated 2 months ago
- A repository for DenseSSMs☆87Updated 11 months ago
- My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing o…☆43Updated 3 months ago
- The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"☆37Updated 5 months ago
- ☆47Updated 11 months ago
- Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"☆24Updated last week
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆34Updated 9 months ago
- Implementation of ViTaR: ViTAR: Vision Transformer with Any Resolution in PyTorch☆32Updated 4 months ago
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆106Updated last week
- Implementation of Switch Transformers from the paper: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficien…☆89Updated last month
- Official implementation for FlexAttention for Efficient High-Resolution Vision-Language Models☆38Updated 2 months ago
- Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Ze…☆100Updated last month
- Official PyTorch Implementation of "The Hidden Attention of Mamba Models"☆216Updated 9 months ago
- Adapting LLaMA Decoder to Vision Transformer☆28Updated 10 months ago
- ☆100Updated 8 months ago
- Offical implementation of "MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map" (NeurIPS2024 Oral)☆21Updated 2 months ago
- State Space Models☆67Updated 10 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆52Updated last month
- Implementation of AAAI 2022 Paper: Go wider instead of deeper☆32Updated 2 years ago
- [NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model☆87Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆53Updated 7 months ago
- PyTorch implementation of LIMoE☆53Updated 11 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)☆71Updated last year
- A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series…☆27Updated 4 months ago
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆43Updated 2 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆52Updated 3 weeks ago