deepfri-tf-npu
CommunityEnable TensorFlow-based protein prediction on Ascend NPUs.
Authordongg622
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill allows users to run DeepFRI protein function prediction models directly on Ascend NPUs without converting models to PyTorch, facilitating high-performance bioinformatics workflows.
Core Features & Use Cases
- Direct NPU Deployment: Deploy TensorFlow 2.6.5 models natively on Ascend hardware for fast inference.
- Model Compatibility: Supports DeepFRI models with minimal code modifications, primarily adding NPU device context.
- Use Case: Researchers can accelerate large-scale protein annotation by executing DeepFRI inference on Ascend NPUs, avoiding slow CPU-based processing.
Quick Start
Use this Skill to run DeepFRI TensorFlow models on Ascend NPUs by initializing the NPU device context before inference commands.
Dependency Matrix
Required Modules
npu_devicetensorflow
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: deepfri-tf-npu Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#deepfri-tf-npu Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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