LogicNets
Train and deploy LUT-based neural networks on FPGAs
About
LogicNets is a methodology for designing, training and deploying sparse, quantized neural networks based on hardware building blocks. They are able to achieve extremely high throughput and low latency on Xilinx FPGAs.
Open Source Health
- Stars
- 121
- Forks
- 34
- License
- Apache-2.0
- Last commit
- 2 years ago
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Vendor
Xilinx
Publisher of CHaiDNN, Vitis-AI and LogicNets
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