Awesome Tensor Compilers

Overview

A curated GitHub repository listing compiler projects and research papers for tensor computation and deep learning. Maintained by the community, it serves as a reference for developers and researchers interested in tensor compiler technology.

Best for

Best for
Researchers and engineers exploring tensor compilation and deep learning optimization.

Use cases

• Discovering tensor compiler projects for model optimization
• Finding research papers on tensor compilation techniques
• Identifying tools for deep learning hardware acceleration

Notes

A curated GitHub repository listing compiler projects and research papers for tensor computation and deep learning. Maintained by the community, it serves as a reference for developers and researchers interested in tensor compiler technology.

2,753 stars on GitHub. Last updated 2024-10-19.

Use cases

• Discovering tensor compiler projects for model optimization
• Finding research papers on tensor compilation techniques
• Identifying tools for deep learning hardware acceleration

Pros

• Comprehensive collection of projects and papers across the field
• Community-maintained with regular updates
• Covers both academic research and industry tools

Cons

• No hands-on guidance or usage instructions for individual tools
• List format requires manual exploration and evaluation
• May not include detailed comparisons or benchmarks

Indexed from awesome-llmops and enriched against its public facts.