bwconrad / soft-moeLinks
PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
☆67Updated 2 years ago
Alternatives and similar repositories for soft-moe
Users that are interested in soft-moe are comparing it to the libraries listed below
Sorting:
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆106Updated 2 years ago
- The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)☆69Updated 5 months ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Updated 2 years ago
- EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning (ACL 2023)☆32Updated 2 years ago
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆46Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆33Updated 2 years ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆81Updated 2 years ago
- A repository for DenseSSMs☆88Updated last year
- Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"☆57Updated last year
- PyTorch implementation of LIMoE☆52Updated last year
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆84Updated last year
- [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling☆87Updated 2 years ago
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆339Updated 8 months ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated 2 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).☆32Updated last year
- ☆92Updated 2 years ago
- ImageNetV2 Pytorch Dataset☆42Updated 2 years ago
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆61Updated last year
- Official code for "TOAST: Transfer Learning via Attention Steering"☆188Updated 2 years ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆56Updated 2 years ago
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- ☆28Updated last year
- Mixture of Attention Heads☆51Updated 3 years ago
- [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models☆36Updated last year
- Distributed Optimization Infra for learning CLIP models☆27Updated last year
- An Enhanced CLIP Framework for Learning with Synthetic Captions☆38Updated 8 months ago
- [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…☆38Updated 2 years ago
- [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization☆38Updated last year
- Official pytorch implementation of NeurIPS 2022 paper, TokenMixup☆48Updated 3 years ago