larq VS finn-examples

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

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larq finn-examples
2 1
692 161
0.3% 4.3%
7.5 0.0
17 days ago 8 days ago
Python Jupyter Notebook
Apache License 2.0 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.

larq

Posts with mentions or reviews of larq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-09.
  • Running CNN on ATmega328P
    1 project | /r/embedded | 1 Apr 2022
    You quantize the model parameters i.e., don't just send the model in which uses floating point math instead change it to fixed point. This has 2 advantages 1) a pure size reduction and 2) most low power MCU's don't have float point multipliers but do have single cycle fixed point multipliers. This is a classic DSP trick used for a long time. The real research aspects come-in as you start dropping below 8-bit; even coming down to single-bit in some cases(see Larq)
  • Simplifying AI to FPGA deployment, looking for opportunities
    3 projects | /r/FPGA | 9 Mar 2022
    It is a difficult question. I work almost exclusively with open source, so I'm not much use to give you advice. Maybe you can see how Plumerai handles things -- they have some stuff proprietary, but they've also open-sourced their BNN Larq stuff: https://github.com/larq/larq

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.

What are some alternatives?

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

model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Vitis-Tutorials - Vitis In-Depth Tutorials

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

nngen - NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

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

rfsoc_studio - The Strathclyde RFSoC Studio Installer for PYNQ.

Alveo-PYNQ - Introductory examples for using PYNQ with Alveo

PYNQ - Python Productivity for ZYNQ

Vitis_Accel_Examples - Vitis_Accel_Examples