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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.
FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)
| Date | Stars |
|---|---|
| 2026-07-31 | 290 |
| 2026-08-02 | 290 |
| 2026-08-03 | 290 |
| 2026-08-06 | 290 |
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# spooNN  This is a repository for FPGA-based neural network inference, that delivered the highest FPS in the international contest for object detection as part of Design Automation Conference 2018 and 2019 (https://www.dac.com/content/2018-system-design-contest). The contents of spooNN enable an end-to-end capability to perform inference on FPGAs; starting from training scripts using Tensorflow to deployment on hardware. Target hardware platforms are PYNQ (http://www.pynq.io/) and ULTRA96 (https://www.96boards.org/product/ultra96/).  2018: The final rankings are published at http://www.cse.cuhk.edu.hk/~byu/2018-DAC-SDC/index.html  2019: The final rankings are published at http://www.cse.cuhk.edu.hk/~byu/2019-DAC-SDC/index.html ## Repo organization - hls-nn-lib: A neural network inference library implemented in C for Vivado High Level Synthesis (HLS). - mnist-cnn: helloworld project, showing an end-to-end flow (training, implementation, FPGA deployment) for MNIST handwritted digit classification with a convolutional neural network. - halfsqueezenet (targets PYNQ): The object detection network, that ranked second in DAC 2018 contest, delivering the highest FPS at lowest power consumption for object detection. - recthalfsqznet (targets ULTRA96): The object detection network, that ranked second in DAC 2019 contest, delivering the highest FPS at lowest power consumption for object detection.
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d7ef9e47b18dd5b3, llm:Repository topics: fpga, neural-network, object-detection. Description and README: "FPGA-based neural network inference... end-to-end capability to perform inference on FPGAs; starting from training scripts using TensorFlow to deployment on hardware. Contains HLS neural network inference library and FPGA-targeted models (PYNQ, ULTRA96).
matched fp:d7ef9e47b18dd5b3, llm:Repository topics: fpga, neural-network, object-detection. Description and README: "FPGA-based neural network inference... end-to-end capability to perform inference on FPGAs; starting from training scripts using TensorFlow to deployment on hardware. Contains HLS neural network inference library and FPGA-targeted models (PYNQ, ULTRA96).
matched fp:d7ef9e47b18dd5b3, llm:Repository topics: fpga, neural-network, object-detection. Description and README: "FPGA-based neural network inference... end-to-end capability to perform inference on FPGAs; starting from training scripts using TensorFlow to deployment on hardware. Contains HLS neural network inference library and FPGA-targeted models (PYNQ, ULTRA96).