aimet
open-lpr
| aimet | open-lpr | |
|---|---|---|
| 2 | 1 | |
| 1,911 | 149 | |
| 2.6% | - | |
| 9.6 | 1.3 | |
| 1 day ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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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
open-lpr
What are some alternatives?
tkDNN - Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
crop - Character Recognition Of Plates using yolov5
model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.
qkeras - QKeras: a quantization deep learning library for Tensorflow Keras
darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
distiller - Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
license-plate-recognition - Github Template for EVA applications