Cancel Create saved search Sign in Sign up Reseting focus {{ message }} isaaccorley / torchrs Public Notifications You must be signed in to change notification settings Fork 50 Star 375 PyTorch implementation of popular datasets and models in remote sensing License MIT license ...
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EF takes as input the concatenated images while Siam extracts feature vectors using a shared CNN and then feeds the concatenated vectors to a MLP classifier. Both models expect patches of size Cx15x15 but have been modified to work with any number of input images t and channels c. import ...
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OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架,C++开发,支持多层感知器,长短时记忆模型
Insights Additional navigation options master BranchesTags Code README MIT license TensorRTx TensorRTx aims to implement popular deep learning networks with tensorrt network definition APIs. As we know, tensorrt has builtin parsers, including caffeparser, uffparser, onnxparser, etc. But when we use...
Tested on Nvidia GTX1080, AMD R9 295X2, Intel HD Graphics 630 GPU. Support multiple devices training. 已完成进度:可成功运行MLP全连接多层感知器,CharRNN(LSTM,基于动态计算图的循环实现),CNN(LeNet5,MNIST),WRN(CIFAR)的训练及推断。 三种模型均在Nvidia GTX1080, AMD R9 295X2, Intel HD Graphics...
A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet) neural networks. 基于OpenCL的深度学习计算框架,C++开发,支持多层感知器,长短时记忆模型,卷积神经网络。 Progress: Currently clnet can successfully run fully connected neural networks (MLP), Char...