AoE (AI on Edge,终端智能,边缘计算) 是一个终端侧AI集成运行时环境 (IRE),帮助开发者提升效率。
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Updated
Apr 12, 2023 - C++
AoE (AI on Edge,终端智能,边缘计算) 是一个终端侧AI集成运行时环境 (IRE),帮助开发者提升效率。
Convolutional Neural Network with CUDA (MNIST 99.23%)
A resource-conscious neural network implementation for MCUs
C++ implementation of KDTree & kNN classification on MNIST
C++ demo of deep neural networks (MLP, CNN)
ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance
Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API
Deep Neural Network from scratch in C++ for learning purposes
A C++ implementation to create, visualize and train Convolutional Neural Networks
Parallel handwritten digits recognition
A node based deep neural network library on top of CuDNN
A Tensorflow C++ MNIST inference example, using opencv to read image
A simple convolutional network to classify handwritten digits
Mokka is a minimal Inference Engine for Dense and Convolutional 2D Layer Neural Networks. Written on a single C++ header, it uses AVX2
tiny-dnn based C++ deep learning applications
Multi-layered Convolutional Neural Network written in C++11
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