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aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

caffe

Caffe: a fast open framework for deep learning.

deeplearningpapers

dlib

A toolkit for making real world machine learning and data analysis applications in C++

eigen3

Snapshot of Eigen3 for convenience of building opm-autodiff

expert_readed_books

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

fivek_dataset

google-10000-english

This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.

label-identification

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

models

onnx

Open standard for machine learning interoperability

pose_estimation

pytorch-inference

PyTorch 1.0 inference in C++ on Windows10 platforms

rebar-counting

2019 DataFountain Competition About Rebar-Counting

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5_quant_sample

This is 8-bit quantization sample for yolov5. Both PTQ, QAT and Partial Quantization have been implemented, and present the results based on yolov5s.

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