Pinned Repositories
Active-Noise-Cancellation-System
LMS, RLS, QR-RLS based FIR adaptive filter for active noise cancellation with and without quantization effects.
DeepLearingBook
some books on Deep Learning
HDF5-tool
读取和批量修改参数HDF5文件的小工具
learning-cmake
learning cmake
LearningCMake
初识CMake
LearningCPP
Machine-Learning-homework
Matlab Coding homework for Machine Learning
MDBTool
读取mdb文件，并选取字段输出的小工具
TestGitHubAction
TestThinkBayesbyAllenDowney
read Think Bayes by Allen Downey and take notes
w-boom's Repositories
w-boom/LearningCPP
w-boom/DeepLearingBook
some books on Deep Learning
w-boom/learning-cmake
learning cmake
w-boom/LearningCMake
初识CMake
w-boom/TestGitHubAction
w-boom/TestThinkBayesbyAllenDowney
read Think Bayes by Allen Downey and take notes
w-boom/AutoSleepScorer
An open-source sleep stage classification Python package
w-boom/awesome-cmake
A curated list of awesome CMake resources, scripts, modules and examples.
w-boom/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
w-boom/Brain-MRI-Age-Classification-using-Deep-Learning
w-boom/cmake-demo
《CMake入门实战》源码
w-boom/cmake-examples
Useful CMake Examples
w-boom/daisy
Data Information System (DAISY) is a data bookkeeping application designed to help Biomedical Research institutions with their GDPR compliance.
w-boom/DeepFilter
This repository contains the codes for DeepFilter
w-boom/Dependencies
A rewrite of the old legacy software "depends.exe" in C# for Windows devs to troubleshoot dll load dependencies issues.
w-boom/eeglab
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
w-boom/fir1
FIR & LMS filter implementation in C++ with Python & JAVA wrappers
w-boom/Fourier-Analysis
Learn Fourier analysis using live scripts and apps.
w-boom/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
w-boom/grokking_algorithms
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
w-boom/image-to-latex
Convert images of LaTex math equations into LaTex code.
w-boom/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
w-boom/kfr
Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)
w-boom/LearningMex
w-boom/lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
w-boom/mathnet-filtering
Math.NET Filtering (formerly Neodym)
w-boom/PlotJuggler
The Time Series Visualization Tool that you deserve.
w-boom/Python-100-Days
Python - 100天从新手到大师
w-boom/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
w-boom/UnprocessDenoising_PyTorch
Unofficial PyTorch code for the paper - Unprocessing Images for Learned Raw Denoising, CVPR'19