finn-examples VS larq

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

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finn-examples larq
1 2
161 692
4.3% 0.3%
0.0 7.5
4 days ago 13 days 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.

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

What are some alternatives?

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

Vitis-Tutorials - Vitis In-Depth Tutorials

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

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

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.

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