Xuan (wwhenxuan)

wwhenxuan

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Company:Xidian University

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Xuan's starred repositories

CefFlashBrowser

Flash浏览器 / Flash Browser

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wanda

A simple and effective LLM pruning approach.

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paper-reading

深度学习经典、新论文逐段精读

License:Apache-2.0Stargazers:25375Issues:0Issues:0

ewtpy

Empirical wavelet transform (EWT) in Python

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DeepClustering

Methods and Implements of Deep Clustering

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DeepTemporalClustering

:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model

Language:PythonLicense:MITStargazers:218Issues:0Issues:0

clusterGAN

Pytorch Implementation of ClusterGAN (arXiv:1809.03627)

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ttt-lm-pytorch

Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

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aeon

A toolkit for machine learning from time series

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China-software-copyright

Chinese software copyright application template document

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pykan

Kolmogorov Arnold Networks

Language:Jupyter NotebookLicense:MITStargazers:13967Issues:0Issues:0

ADMM_Sparse_Signals_and_Denoising

Here I attempted to denoise a sparse signal that is corrupted by random noise. I have used ADMM.

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FCMpy

Fuzzy Cognitive Maps for Behavior Change Interventions and Evaluation

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Wavelet-HFCM

This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wavelet Transform'

Language:PythonStargazers:50Issues:0Issues:0

Building-LLM-Powered-Applications

Building Large Language Model Applications, Published by Packt

Language:Jupyter NotebookLicense:MITStargazers:117Issues:0Issues:0

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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ggradar

radar charts with ggplot2

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YOLO-v5

:art: Pytorch YOLO v5 训练自己的数据集超详细教程!!! :art: (提供PDF训练教程下载)

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:892Issues:0Issues:0

PySDKit

A Python library for signal decomposition algorithms

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PyEMD

Python implementation of Empirical Mode Decompoisition (EMD) method

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nanoGPT-Tutorial-CN

更友好的nanoGPT的中文教程

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machine-learning-for-trading

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

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dsatools

Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition (EMD); empirical wavelet transform (EWT); Hilbert vibration decomposition (HVD) and many others.

Language:Jupyter NotebookLicense:MITStargazers:125Issues:0Issues:0

Wavelet-denoising

A script to use the PyWavelet library to perform denoising on a signal using a multi-level signal decomposition using a discrete wavelet transform.

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ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

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open-interpreter

A natural language interface for computers

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