NaidaLu

NaidaLu's Stars

• jorgengrythe/beamforming

  Matlab files for various types of beamforming

  Language:MATLAB300124

• PRiME-project/PRiMEStereoMatch

  A heterogeneous and fully parallel stereo matching algorithm for depth estimation, implementing a local adaptive support weight (ADSW) Guided Image Filter (GIF) cost aggregation stage. Developed in both C++ and OpenCL.

  Language:C++22863

• mattbellis/h5hep

  A file format built on HDF5 for use with Heterogeneous Entries in Parallel, and inspired by High Energy Physics datasets and the ROOT analysis toolkit.

  Language:Jupyter Notebook32

• roscisz/KernelHive

  An environment for executing, designing and tuning parallel applications in multi-level heterogeneous high performance computing systems

  Language:Java43

• NaidaLu/Sound_Localization_Algorithms

  Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

  1

• yidao620c/python3-cookbook

  《Python Cookbook》 3rd Edition Translation

  Language:Jupyter Notebook11.8k3k

• LahiruJayasinghe/DeepDOA

  Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.

  Language:Python8238

• PnYuan/Machine-Learning_ZhouZhihua

  Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

  Language:HTML536429

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39.8k11.5k

• robwhess/opensift

  Open-Source SIFT Library

  Language:C711335

• Soumitro-Chakrabarty/Single-speaker-localization

  CNN based single speaker localization

  Language:MATLAB4615

• NaidaLu/keras

  Deep Learning for humans

  Language:Python1

• JOJOZHANGJU/TIMIT_Format_Conversion

  Language:Matlab1

• keras-team/keras

  Deep Learning for humans

  Language:Python62.3k19.5k