2022年6月15日,岳峰课题组在Science Advances上发表了题为EagleC: A deep-learning framework for detecting a full range of structural variations from bulk and single-cell contact maps的工作。该项工作基于深度学习和集成学习策略,...
Wang X, Luan Y, Yue F. EagleC: A deep-learning framework for detecting a full range of structural variations from bulk and single-cell contact maps[J]. Science Advances, 2022, 8(24): eabn9215.
Abstract 背景:目前对cross-framework conversion中的inconsistencies和security bugs的研究少有 本文:TensorScope Github:https://github.com/tensorscopepro/Tensorscope Task: test cross-frame APIs in Machine Learning Libraries Method: 1. Differential Testing among Machine Learning Libraries 2. joint constraint an...
Wang X, Luan Y, Yue F. EagleC: A deep-learning framework for detecting a full range of structural variations from bulk and single-cell contact maps[J]. Science Advances, 2022, 8(24): eabn9215.
A deep-learning framework for predicting a full range of structural variations from bulk and single-cell contact maps - XiaoTaoWang/EagleC
摘要: Purpose Pedicle screw fixation is a challenging procedure with a concerning rates of reoperation. After insertion of the screws is completed, the most common intraoperative verification approach is to...关键词: Pedicle screw Segmentation Pose estimation Deep learning Convolutional neural networks ...
A deep learning library implemented from scratch inANSIC99 C, including a tensor manipulation library, a library for composing neural nets on top of this library. Also conatains an application of this library that approximately reproduces a paper (verifying against an existing Pytorch repro of the...
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Machine Learning Framework: Eager mode framework: e.g.: PyTorch, JAX 命令式运行定义方法(imperative define-by-run) approach 机器学习模型表达为每次运行时所需的代码learning model is represented as code that is executed each time one wants to run the model ...
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