Open Source
Awesome Tensor Compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
Our verdict
We have not reviewed Awesome Tensor Compilers yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Awesome Tensor Compilers
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
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
2,753 stars on GitHub. Last updated 2024-10-19.
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
Key facts
What we have checked
- GitHub stars
- 2,786
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Awesome Tensor Compilers is growing
2,753 to 2,786
Sources
Where this comes from
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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