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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-31 | 532 |
| 2026-08-04 | 532 |
| 2026-08-05 | 532 |
| 2026-08-06 | 532 |
| 2026-08-13 | 532 |
| 2026-08-14 | 532 |
| 2026-08-18 | 532 |
| 2026-08-26 | 532 |
| 2026-08-29 | 531 |
| 2026-09-20 | 531 |
Today
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-1 stars this month
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growth rate 0.00%/day
# ONNC (Open Neural Network Compiler)
## Introduction
ONNC (Open Neural Network Compiler) is a retargetable compilation framework designed specifically for proprietary deep learning accelerators. Its software architecture expedites porting ONNC to any Deep Learning Accelerator (DLA) design that supports [ONNX (Open Neural Network Exchange)](https://onnx.ai/) operators. ONNC guarantees executability across every DLA by means of transforming ONNX models into DLA-specific binary forms and leveraging the intermediate representation (IR) design of ONNX along with effective algorithms to eliminate the overhead of data movement. **ONNC is the first open source compiler available for NVDLA-based hardware designs**. Its NVDLA backend can compile a model into an executable NVDLA Loadable file. Integrating ONNC with the NVDLA software stack opens up opportunities for developers and researchers to explore the NVDLA-based inference design at system level.
## Papers
* W. F. Lin, D. Y. Tsai, L. Tang, C. T. Hsieh, C. Y. Chou, P. H. Chang, and L. Hsu, “ONNC: A compilation framework connecting ONNX to proprietary deep learning accelerators,” in IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2019). IEEE, 2019.
* W.F. Lin, C. T. Hsieh, C. Y. Chou, "ONNC-based Software Development Platform for Configurable NVDLA Designs", to appear in IEEE International Symposium on VLSI Design, Automation and Test (VLSI-DAT 2019). IEEE, 2019
## Documentation
- [ONNC Utilities](docs/ONNC-Utilities.md)
- [ONNC Pass Manager Getting Started Guide](docs/ONNC-Pass-Manager-Getting-Started-Guide.md)
- [ONNC Backend Developer Guide](docs/ONNC-Backend-Porting-Guide.md)
- [The Code Emitting Pass User Guide](docs/The-Code-Emitting-Pass-User-Guide.md)
- [ONNC IR Extension Guide](docs/ONNC-IR-Extension-Guide.md)
- [ONNC C Backend Guide](docs/ONNC-C-Backend-Guide.md)
## Current Status
* [v1.3.0](https://github.com/ONNC/onnc/releases)
## How to contribute
* Please see [contribute guidline](https://github.com/ONNC/onnc/blob/master/CONTRIBUTING.md)
## Directory Structure
* README.md - This document
* docs - documents
* include - header files for libonnc
* lib - implementation for libonnc
* tools - tools based on libonnc
## Supported platforms
ONNC supports Ubuntu/x86_64 and MacOSX.
Here is a list of verified versions:
* Ubuntu/x86_64
- 16.04
* MacOSX
- High Sierra
## Getting Started
There are three ways to build ONNC:
1. Build ONNC via Docker
Please refer to the [ONNC Utilities](docs/ONNC-Utilities.md) document.
2. Build ONNC via ONNC umbrella
Please follow the [instructions of README.md](https://github.com/ONNC/onnc-umbrella) in **onnc-umbrella**.
[Here](https://github.com/ONNC/onnc-umbrella/tree/master/external) is the version of external library we are using in ONNC.
3. Build ONNC without ONNC umbrella
Please refer to the [ONNC CMake build instruction](docs/build.md)
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Liu, An-Chi · @t2-auto · Japan
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hydai · @second-state · Taiwan
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Json Lee · ICT, CAS · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:762f5138ad02afd6, llm:Repository description: 'Open Neural Network Compiler' (ONNC). Project implements a compiler for neural network models (optimizations, code generation). Language: C++.
matched fp:762f5138ad02afd6, llm:Repository description: 'Open Neural Network Compiler' (ONNC). Project implements a compiler for neural network models (optimizations, code generation). Language: C++.
matched fp:762f5138ad02afd6, llm:Repository description: 'Open Neural Network Compiler' (ONNC). Project implements a compiler for neural network models (optimizations, code generation). Language: C++.