nngen
dace
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| nngen | dace | |
|---|---|---|
| 1 | 3 | |
| 318 | 466 | |
| 3.1% | 4.1% | |
| 4.9 | 9.5 | |
| 7 months ago | 3 days ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
dace
- Looking for HLS frameworks to start deploying DL algorithms on FPGAs
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FPGA high-level programming
I had this recommended to me, but have yet to try it out: https://github.com/spcl/dace
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Moving from Python to OpenCL, any advice?
I've had good experience with dace which has a Python frontend but compiles to both Intel OpenCL and Xilinx HLS (along with GPU and multicore CPU backends). It's the easiest way to get into FPGA programming IMO but you don't quite reach the same performance an FPGA expert might get.
What are some alternatives?
TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
Pyverilog - Python-based Hardware Design Processing Toolkit for Verilog HDL
hls4ml - Machine learning on FPGAs using HLS
finn-examples - Dataflow QNN inference accelerator examples on FPGAs
hlslib - A collection of extensions for Vitis and Intel FPGA OpenCL to improve developer quality of life.
PipelineC - A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
Fast-Poisson-Image-Editing - A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Vitis-AI-Tutorials
larq - An Open-Source Library for Training Binarized Neural Networks