aimet VS model-optimization

Compare aimet vs model-optimization and see what are their differences.

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aimet model-optimization
2 1
1,911 1,470
2.5% 0.8%
9.6 6.8
1 day ago 8 days ago
Python Python
GNU General Public License v3.0 or later 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.

aimet

Posts with mentions or reviews of aimet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-14.

model-optimization

Posts with mentions or reviews of model-optimization. We have used some of these posts to build our list of alternatives and similar projects.
  • Need Help With Pruning Model Weights in Tensorflow 2
    1 project | /r/tensorflow | 7 Jun 2021
    I have been following the example shown here, and so far I've had mixed results and wanted to ask for some help because the resources I've found online have not been able to answer some of my questions (perhaps because some of these are obvious and I am just being dumb).

What are some alternatives?

When comparing aimet and model-optimization you can also consider the following projects:

tkDNN - Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

qkeras - QKeras: a quantization deep learning library for Tensorflow Keras

open-lpr - Open Source and Free License Plate Recognition Software

sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

3d-model-convert-to-gltf - Convert 3d model (STL/IGES/STEP/OBJ/FBX) to gltf and compression

TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

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

distiller - Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM