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该项目旨在开源一系列机器学习相关的核心算法来解决许多现实场景中的任务。项目组通过研究计算机模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能如SVM，主成分分析（PCA），XGBT等。此外深度学习作为机器学习最重要的一个分支，近年来发展迅猛，在国内外都引起了广泛的关注。因此该项目组研发了一系列基于深度学习的核心算法，如解决点云语意的FPConv，拥挤场景下的人体关键点检测的OPEC-Net 等。

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