finn-examples VS nngen

Compare finn-examples vs nngen and see what are their differences.

finn-examples

Dataflow QNN inference accelerator examples on FPGAs (by Xilinx)

nngen

NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network (by NNgen)
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finn-examples nngen
1 1
161 319
4.3% 1.9%
0.0 4.9
3 days ago 7 months ago
Jupyter Notebook Python
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

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.

nngen

Posts with mentions or reviews of nngen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-09.

What are some alternatives?

When comparing finn-examples and nngen you can also consider the following projects:

Vitis-Tutorials - Vitis In-Depth Tutorials

TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers

f4pga-arch-defs - FOSS architecture definitions of FPGA hardware useful for doing PnR device generation.

Pyverilog - Python-based Hardware Design Processing Toolkit for Verilog HDL

larq - An Open-Source Library for Training Binarized Neural Networks

PipelineC - A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.

rfsoc_studio - The Strathclyde RFSoC Studio Installer for PYNQ.

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Alveo-PYNQ - Introductory examples for using PYNQ with Alveo

PYNQ - Python Productivity for ZYNQ

dace - DaCe - Data Centric Parallel Programming