Oliver-FutureAI / Awesome-MoELinks
Awesome list of Mixture-of-Experts (MoE)
☆23Updated last year
Alternatives and similar repositories for Awesome-MoE
Users that are interested in Awesome-MoE are comparing it to the libraries listed below
Sorting:
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆35Updated last year
- Official implementation for 'Class-Balancing Diffusion Models'☆54Updated last year
- Code for our ICML'24 on multimodal dataset distillation☆41Updated last year
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆123Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆89Updated last year
- ☆29Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆76Updated 8 months ago
- ☆16Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆196Updated 2 years ago
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆50Updated 10 months ago
- ☆112Updated last year
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆130Updated 11 months ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆83Updated last year
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆93Updated 7 months ago
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆17Updated 8 months ago
- [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities☆66Updated 5 months ago
- [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition☆86Updated last year
- ☆21Updated 11 months ago
- ☆59Updated 10 months ago
- ☆11Updated 9 months ago
- Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024☆254Updated last month
- Official repo of M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning☆27Updated 7 months ago
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆244Updated last year
- [ICLR 2025 Oral🔥] SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning☆61Updated 4 months ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆71Updated 6 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆133Updated 2 years ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆92Updated last year