distiller
aimet
distiller | aimet | |
---|---|---|
1 | 2 | |
4,096 | 1,932 | |
- | 3.7% | |
10.0 | 9.6 | |
over 1 year ago | 5 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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distiller
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Avoid vver fitting in iterative pruning [D]
Code for https://arxiv.org/abs/1510.00149 found: https://github.com/NervanaSystems/distiller
aimet
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I was looking for some great quantization open-source libraries that could actually be applied in production (both edge or cloud CPU/GPU). Do you know if I am missing any good libraries?
Qualcomm AIMET | Advanced quantization and compression techniques for trained neural network models
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Model/Tool to use on Jetson for efficient Quantization/Pruning
Qualcomm AIMET may help you
What are some alternatives?
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
tkDNN - Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms
Lottery-Ticket-Hypothesis-for-DNNs - This repo aims to provide an easy-to-use interface for searching the lottery ticket of a DNN structure.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
dl-colab-notebooks - Try out deep learning models online on Google Colab
open-lpr - Open Source and Free License Plate Recognition Software
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"
model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
deconstructing-lottery-tickets
qkeras - QKeras: a quantization deep learning library for Tensorflow Keras
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