It is possible to use the python ray framework https://github.com/ray-project/ray to control the parallel computation of the multiple models. To use this framework, it is required to install it: pip install ray Alternatively, it is also possible to create the model one by one without the...
Deep learning framework for proteomics. Contribute to MannLabs/alphapeptdeep development by creating an account on GitHub.
常用的deep learning frameworks 基本转自:http://www.codeceo.com/article/10-open-source-framework.html 1.Caffe 基于C++开发 2.Theano 大部分代码是使用CYthon开发的,主页有很详细的教程,在github上有Theano的软件包,另外还有一份pdf的tutorial 基于theano派生了许多的深度学习python软件包:Keras(documents)、Lasagn...
1、tensorflow/tensorflow Introduction Computation using data flow graphs for scalable machine learning GitHub:tensorflow/tensorflow 2、BVLC/caffe Introduction Caffe: a fast open framework for deep learning. GitHub:BVLC/caffe 3、ZuzooVn/machine-learning-for-software-engineers Introduction A complete daily p...
以前老开源项目Ironframework分析 deepwiki.com/megadotnet 模块依赖图解析 时序图 类图 Dockerfile分析 DeepResearch提问 完整截图 对话可以支持中文 开源项目OpenDeepWiki koala.token-ai.cn/ github.com/AIDotNet/Ope 我们也可以用DeepWiki分析这个仓库 deepwiki.com/AIDotNet/O 基础模块依赖图 技术栈 OpenDeepWiki ...
偶然在github上看到Awesome Deep Learning项目,故分享一下。其中涉及深度学习的免费在线书籍、课程、视频及讲义、论文、教程、网站、数据集、框架和其他资源,包罗万象,非常值得学习。 其中研究人员部分篇幅所限本文未整理进来。另外上面的GIF录制于MIT自动驾驶课程(MIT 6.S094: Deep Learning for Self-Driving Cars) ...
Code:https://github.com/microsoft/ProDA(opens in new tab) While deep learning has seen tremendous success in the last decade, vast quantities of data are required to achieve high performance. People have attempted to reduce the labeling expense by resorting...
https://deepwiki.com/netcorepal/netcorepal-cloud-framework Java平台,cap4j: 项目: https://github.com/netcorepal/cap4j DeepWiki: https://deepwiki.com/netcorepal/cap4j 从这些内容可以看得出,DeepWiki是基于代码深度分析得到结果,因为不少很深的内容,我们并没在项目的文档里说明,这都是它自己理解并输出...
Accurate identification and localization of multiple abnormalities are crucial steps in the interpretation of chest X-rays (CXRs); however, the lack of a large CXR dataset with bounding boxes severely constrains accurate localization research based on deep learning. We created a large CXR dataset name...
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios. 展开 收起 暂无标签 https://www.mindspore.cn README Apache-2.0 使用Apache-2.0 开源许可协议 8.8K Stars 2.7K Watching 5.1K Forks 保存更改 取消 发行版...