Direktori skill
Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images
A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.
[ICLR2025] Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"
Direktori skill
Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images
A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.
[ICLR2025] Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"
Direktori skill
Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images
A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.
[ICLR2025] Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"
Direktori skill
Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images
A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.
[ICLR2025] Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"