You can also find a completedJupyter notebook versionof this guide on the GitHub samples page. Set up the job This section sets up the job for training by loading the required Python packages, connecting to a workspace, creating a compute resource to run a command job, and creating an envi...
项目地址:https://github.com/tanluren/yolov3-channel-and-layer-pruning 项目特点:本项目以ultralytics/yolov3为基础实现,根据论文Learning Efficient Convolutional Networks Through Network Slimming (ICCV 2017)原理基于bn层Gmma系数进行通道剪枝,下面引用了几种不同的通道剪枝策略,并对原策略进行了改进,提高了剪枝...
Github项目地址:https://github.com/JackHCC/Chinese-Text-Classification-PyTorch 中文文本分类,基于pytorch,开箱即用。 神经网络模型:TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention, DPCNN, Transformer 预训练模型:Bert,ERNIE 介绍 神经网络模型 模型介绍、数据流动过程:参考 ...
espnet: End-to-End Speech Processing Toolkit espnet.github.io/espnet pythia: A software suite for Visual Question Answering UnsupervisedMT: Phrase-Based & Neural Unsupervised Machine Translation. jiant: The jiant sentence representation learning toolkit. ...
项目地址：https://github.com/thuml/Transfer-Learning-Library 目前，该项目发布了第一个子库——领域自适应算法库（DALIB），其支持的算法包括：Domain Adversarial Neural Network (DANN)Deep Adaptation Network (DAN)Joint Adaptation Network (JAN)Conditional Domain Adversarial Network (CDAN)Maximum Classifier ...
以下附上论文链接。另外,使用pytorch实现了大部分的模型,并在CIFAR数据集上进行测试,可在github链接中查看具体实现代码细节。如果对大家有帮助,欢迎给个star。:smile: Architecture (lenet)LeNet-5, convolutional neural networks (alexnet)ImageNet Classification with Deep Convolutional Neural Networks...
Deep Neural Networks with PyTorch from Coursera PyTorch Twitter PyTorch Blog PyTorch YouTube Communication Forums: Discuss implementations, research, etc.https://discuss.pytorch.org GitHub Issues: Bug reports, feature requests, install issues, RFCs, thoughts, etc. ...
backend for high-level machine learning frameworks. The compiler is designed to allow state of the art compiler optimizations and code generation of neural network graphs. This library is in active development. The project plan is described in the Github issues section and in theRoadmapwiki page....
ONNX(英语:Open Neural Network Exchange)是一种针对机器学习所设计的开放式的文件格式,用于存储训练好的模型。它使得不同的人工智能框架(如Pytorch、MXNet)可以采用相同格式存储模型数据并交互。 ONNX的规范及代码主要由微软,亚马逊,Facebook和IBM等公司共同开发,以开放源代码的方式托管在Github上。目前官方支持加载ONN...
Graph Isomorphism Network (GIN) from Xu et al. (2019) Approximate Personalized Propagation of Neural Predictions (APPNP) operator (Klicpera et al., 2019) 对于学习具有多维边缘特征的点云,流形和图,我们提供了: Schlichtkrull et al. (2018) 的 relationalGCNoperator PointNet++(Qi et al., 2017) Po...