finn-examples
Dataflow QNN inference accelerator examples on FPGAs (by Xilinx)
PYNQ
Python Productivity for ZYNQ (by Xilinx)
| finn-examples | PYNQ | |
|---|---|---|
| 1 | 4 | |
| 161 | 1,870 | |
| 4.3% | 0.7% | |
| 0.0 | 4.2 | |
| 4 days ago | 9 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
finn-examples
Posts with mentions or reviews of finn-examples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-09.
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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
PYNQ
Posts with mentions or reviews of PYNQ.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-09.
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Cheap robust FPGA options
Yes, you can get academic price. If you want a Zynq board, blackboard is good, but PYNQ-Z2 may be better in the same price range https://www.xilinx.com/support/university/xup-boards/XUPPYNQ-Z2.html Pynq-Z2 has a better Zynq device - it has a dual core arm a9 (vs single core on blackboard) and it has more Programmable Logic. Also supported by www.pynq.io Blackboard does have more switches, leds and seven segment display which can be nice depending on your project ideas.
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Error while building PYNQ HLS IP cores
While trying to implement the tutorial given here, I encountered the following error when I tried building the HLS IP cores given here using the bash shell script:
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What exactly does an embedded engineer do ?
think of this like a space grade 64bit pynq board http://www.pynq.io
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HDMI Output Pynq Z2 PL
You want to use the DVI protocol over HDMI. You will need your frame data either from a simple state machine or using Xilinx VDMA IP to load it from DDR. Then you need to convert that data into HSYNC and VSYNC data, here are two examples, AXI4-Stream to Video or IceBreaker HDL example. You then need to use IOserdes blocks to convert it to the HDMI TDMS signals (rgb2dvi core). You can follow the block diagram for the Pynq Z2 FPGA on the Pynq github (bd tcl).
What are some alternatives?
When comparing finn-examples and PYNQ you can also consider the following projects:
Vitis-Tutorials - Vitis In-Depth Tutorials
Alveo-PYNQ - Introductory examples for using PYNQ with Alveo
nngen - NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network
vivado-library
f4pga-arch-defs - FOSS architecture definitions of FPGA hardware useful for doing PnR device generation.
icebreaker-verilog-examples - This repository contains small example designs that can be used with the open source icestorm flow.
larq - An Open-Source Library for Training Binarized Neural Networks
hdmi - Send video/audio over HDMI on an FPGA
rfsoc_studio - The Strathclyde RFSoC Studio Installer for PYNQ.
Vitis_Accel_Examples - Vitis_Accel_Examples