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Holo-Hilbert Spectral Analysis (HHSA) PyCUDA GPU version: This program can doing Hilbert–Huang Transform (HHT) using Complete Ensemble Empirical Mode Decomposition (CEEMD) and then doing HHSA on Up…
Exact 432Hz Player for Windows Platform
Tiling High Resolution Image with NVIDIA CUDA, YOLOv11-OBB batch inference with NVIDIA TensorRT on NVIDIA GPU and Optimized with Multi Threading GPU Stream
This is image spectrum analysis write in PyOpenCL and PyCUDA code which can doing the SFEGO on multispectral image which can see the different spatial frequency info in different wavelength channel.
High-performance parallel GPU implementation of the Multivariate Empirical Mode Decomposition algorithm in CUDA
This code is Spatial Frequency Extraction using Gradient-liked Operator in Three-Dimension (SFEGO_3D) that use gradient and integral to mimic the Multi-dimensional Ensemble Empirical Mode Decomposi…
This code is Spatial Frequency Extraction using Gradient-liked Operator in Three-Dimension (SFEGO_3D) that use gradient and integral to mimic the Multi-dimensional Ensemble Empirical Mode Decomposi…
Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports la…
This is the Exact 432Hz Converter with tkinter GUI provide user convert the audio to exact 432Hz Tone.
Spatial Frame Network can be a Layer of Deep Neural Network or Preprocessing of any Machine Learning input.
This Server.py and Client.py can provide send job to multiple GPU Server to run SFEGO in GPU which can make better throughput.
Holo-Hilbert Spectral Analysis (HHSA) OpenMP version: This program can doing Hilbert–Huang Transform (HHT) using Complete Ensemble Empirical Mode Decomposition (CEEMD) and then doing HHSA on Upper …
This python binding for run CUDA kernel code of SFEGO is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the result …
This python binding for run OpenCL kernel code of SFEGO is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the resul…
This project is mimic of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and this project achieve 10000x faster than MEEMD. Also the result is better than Bi-dimensional Empirical M…
Tweaking around with the Microsoft sysvad driver and interacting with it from a userspace app