zlg0124's repositories
annotated-transformer
An annotated implementation of the Transformer paper.
Sparrow
This is a project for mechanical fault detection. The reason why it is called cute little bird may be because the eyesight of birds is particularly good, and they can detect small bugs. Besides, they are cute too. In the current version, we have tested some planetary gearbox vibration data in the lab, and there are 8 error types in total. And use C
awesome-image-classification
A curated list of deep learning image classification papers and codes
ConvNeXt
Code release for ConvNeXt model
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-
Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断
DRSN-for-seismic-damage-assessment
We propose a novel deep learning framework DRSNet (deep residual shrinkage network) with an embedded soft-threshold denoising scheme for seismic signal denoising and seismic damage assessment.
estimation_algorithms
Implementation of followinf estimation algorithms in python: Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, Cubature Kalman Filter, Rao-Blackwellized Particle Filter, Cubature Kalman Filter
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FightingCV-Paper-Reading
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀
filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Machine-Learning-using-Python
Regression, Classification and Clustering
multihead-siamese-nets
Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
NeuroKit
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
notebooks
A collection of practical handson jupyter notebooks on bigdata/ml/dl/rl/cv/nlp/ds/scipy/viz-lib/various command lines
open
Learning notes & research
PHMGNNBenchmark
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
pyMetaheuristic
A python library for the following Metaheuristics: Adaptive Random Search,
Regression-Algorithms-in-Machine-Learning
This repository contains different machine learning regression algorithms based on different data. All notebooks include Data Preparation (data fetch, filling missing values, feature engineering), Exploratory Data Analysis (using various visualization techniques), Pre-Processing, Building a Machine Learning Model, Model Evaluation.
Regression_CapsNet
Implementation of a regression capsule network for use in li-ion battery RUL
Research-Obfuscated-Malware-with-a-Capsule-Neural-Network
https://doi.org/10.51408/1963-0094
TSAT
Transformer based model for time series prediction
vision-transformers
This repository is for Vision Transformer (ViT) models for Image and Time Series Classification