githubmachine-learningcoursesolutionssolutioncourseragenerative-adversarial-networkgancoursesgansgenerative-adversarial-networksspecializationassignmentsassignementcoursera-assignmentdeeplearning-ai UpdatedNov 21, 2020 Jupyter Notebook Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera...
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch. - GitHub - Sahanduiuc/DeepLearningProject: An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from sc
DSSTNE - Amazon's library for building Deep Learning models SyntaxNet - Google's syntactic parser - A TensorFlow dependency library mlpack - A scalable Machine Learning library Torchnet - Torch based Deep Learning Library Paddle - PArallel Distributed Deep LEarning by Baidu NeuPy - Theano based Pyth...
Top Deep Learning Projects A list of popular github projects related to deep learning (ranked by stars). Last Update: 2016.08.09 An independent, stude
带着同样的疑问,我查看了它12月26日在GitHub上发布的报告——DeepSeek-V3 Technical Report。总结出了五点内容,关于模型架构设计、基础设施、预训练、后训练模型,以及评估结果。现在,向你汇报一下。 01 先来说说这家公司: DeepSeek-V3是由中国幻方量化公司开发,它是基于自研MoE模型的新一代大语言模型。
Here we show that candidates for the crystallization products of amorphous precursors can be predicted in many inorganic systems by sampling the local structural motifs at the atomistic level using universal deep learning interatomic potentials. We show that this approach identifies, with high accuracy,...
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ThesourcecodeandexperimentaldataareavailableonGitHub: /user15632/DeepDR .InstallationofDeepDRinvolvessimplytyping“pipinstalldeepdr.” References BaptistaD,FerreiraPG,RochaM.Deeplearningfordrugresponsepre- dictionincancer.BriefBioinform2021 ;22:360–79. 4JiangandLi BarretinaJ,CaponigroG,StranskyNetal.Addendum...
master 3Branches 0Tags Code README PyTorch Project Template A simple and well designed structure is essential for any Deep Learning project, so after a lot practice and contributing in pytorch projects here's a pytorch project template that combinessimplicity, best practice for folder structureandgoo...
The paper presents a methodology developed for the automated image-based 3D reconstruction of complex grid structures aided by deep learning. The main contributions of the paper are: (1) a deep learning WireNetV2 convolutional neural network model that outperforms the state-of-the-art results of ...