nngen
finn-examples
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| nngen | finn-examples | |
|---|---|---|
| 1 | 1 | |
| 318 | 159 | |
| 3.1% | 5.7% | |
| 4.9 | 0.0 | |
| 7 months ago | 5 days ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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nngen
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Simplifying AI to FPGA deployment, looking for opportunities
Yes, like u/ComeGateMeBro, I also thought of hls4ml, and also something else I just found from Japan: NNgen, https://github.com/NNgen/nngen
finn-examples
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Simplifying AI to FPGA deployment, looking for opportunities
FINN can implement arbitrary and mixed precision DNNs, not just BNNs. There is an examples git repo: https://github.com/Xilinx/finn-examples
What are some alternatives?
TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Vitis-Tutorials - Vitis In-Depth Tutorials
Pyverilog - Python-based Hardware Design Processing Toolkit for Verilog HDL
f4pga-arch-defs - FOSS architecture definitions of FPGA hardware useful for doing PnR device generation.
PipelineC - A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
larq - An Open-Source Library for Training Binarized Neural Networks
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
rfsoc_studio - The Strathclyde RFSoC Studio Installer for PYNQ.
Alveo-PYNQ - Introductory examples for using PYNQ with Alveo