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Awesome GitHub RepositoriesSelective State Scanning Operations
High-performance scanning operations for selective state space models using optimized hardware kernels.
Distinct from Deep Learning Optimization: Focuses on selective state scanning, distinct from general deep learning optimization.
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Awesome Selective State Scanning Operations GitHub Repositories
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- state-spaces/mamba
state-spaces/mamba
17,215Auf GitHub ansehenMamba is a deep learning framework designed for building and training sequence models that process long-range data dependencies with linear-time computational efficiency. By utilizing selective state space modeling, the library enables the construction of neural network architectures that replace traditional attention mechanisms with high-performance state space operations. The framework distinguishes itself through the use of data-dependent state gating, which allows the model to dynamically filter information flow based on the input sequence. To ensure high throughput, it incorporates hardw
Executes high-performance selective state space model operations using optimized hardware kernels.
Python
