Oliver-FutureAI / Awesome-MoELinks
Awesome list of Mixture-of-Experts (MoE)
☆20Updated 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:
- Official implementation for 'Class-Balancing Diffusion Models'☆55Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆80Updated 10 months ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆88Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆79Updated last year
- [ICLR 2025 Oral🔥] SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning☆42Updated this week
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆71Updated 4 months ago
- ☆10Updated 5 months ago
- ☆111Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆94Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 7 months ago
- Official repo of M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning☆24Updated 3 months ago
- Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025☆29Updated 3 months ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆74Updated last year
- Code for our ICML'24 on multimodal dataset distillation☆37Updated 8 months ago
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆81Updated last year
- [ECCV 2024] API: Attention Prompting on Image for Large Vision-Language Models☆91Updated 8 months ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated 8 months ago
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆46Updated 5 months ago
- ☆96Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆31Updated 9 months ago
- Code for the paper Visual Explanations of Image–Text Representations via Multi-Modal Information Bottleneck Attribution☆52Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆13Updated 4 months ago
- Instruction Tuning in Continual Learning paradigm☆50Updated 4 months ago
- ☆19Updated 7 months ago
- ✌ CLoG: Benchmarking Continual Learning of Image Generation Models☆18Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆101Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 7 months ago
- Idempotent Generative Network's unofficial pytorch implementation☆45Updated last year
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆44Updated 6 months ago
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆94Updated last year