aimet VS distiller

Compare aimet vs distiller and see what are their differences.

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models. (by quic)
quantization Deep Learning Compression open-source Machine Learning pruning auto-ml network-compression deep-neural-networks network-quantization Opensource
Source Code
quic.github.io
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distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller (by IntelLabs)
Pytorch pruning quantization pruning-structures jupyter-notebook network-compression deep-neural-networks regularization group-lasso distillation early-exit truncated-svd Onnx automl-for-compression

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aimet distiller
2 1
1,911 4,096
2.6% -
9.6 10.0
1 day ago over 1 year ago
Python Jupyter Notebook
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.

distiller

Posts with mentions or reviews of distiller. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-29.

What are some alternatives?

When comparing aimet and distiller 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

Lottery-Ticket-Hypothesis-for-DNNs - This repo aims to provide an easy-to-use interface for searching the lottery ticket of a DNN structure.

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

dl-colab-notebooks - Try out deep learning models online on Google Colab

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

Generalizing-Lottery-Tickets - This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"

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

deconstructing-lottery-tickets

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

nebuly - The user analytics platform for LLMs

aimet vs tkDNN distiller vs deepsparse aimet vs ludwig distiller vs Lottery-Ticket-Hypothesis-for-DNNs aimet vs open-lpr distiller vs dl-colab-notebooks aimet vs model-optimization distiller vs Generalizing-Lottery-Tickets aimet vs qkeras distiller vs deconstructing-lottery-tickets aimet vs TensorRT aimet vs nebuly