github search·ai-hypercomputer-accelerator-agents
AI-Hypercomputer/accelerator-agents
AI-Hypercomputer/accelerator-agents: Translating deep learning models from PyTorch's flexible, object-oriented design to JAX's functional, stateless setup is usually a manual and error-prone task. Automated migration is challenging because Large Language Models (LLMs) struggle with strict and dynamic API alignmen...
AgentScore
16.2+0.22
+0.22 vs 24h ago
Adoption8.0
Quality—
Momentum52.9
Community25.7
Quality unrated · weight redistributed
CapabilitiesCode GenerationMulti Agent
DeploymentLibrary
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars+8.0%27→ 24.1MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 8.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: SO questions (7d), Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
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Score envelope last computed 17h ago. Quality is Unrated — agent has no benchmark results yet.