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ncnn is a high-performance neural network inference framework optimized for the mobile platform
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Atmosphère is a work-in-progress customized firmware for the Nintendo Switch.
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）
Facebook AI Research's Automatic Speech Recognition Toolkit
Transformer related optimization, including BERT, GPT
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its…
Tengine is a lite, high performance, modular inference engine for embedded device
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。
Solutions for the book: Cracking the coding interview V4. Written in C++.
A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
yjxiong / caffe
Forked from MMLab-CU/caffeA fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.
C, C++ and Python Code for Exercises and Solutions
Fast and complete guided filter implementation for OpenCV
A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】
Example program showing how to train your custom HOG detector using openCV
This is an implementation sketch of the KinectFusion system described by Newcombe et al.