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anfis-regression

annotated-transformer

An annotated implementation of the Transformer paper.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-image-classification

A curated list of deep learning image classification papers and codes

capsules-network-with-temporal-aattention

classification_models

Classification models trained on ImageNet. Keras.

convnext

Code release for ConvNeXt model

covid-caps

A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images

data-science-notes

数据科学的笔记以及资料搜集

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.⭐⭐⭐

fault-diagosis-bearing

feiguyunai

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'.

gramian-angular-fields

gramian_angular_field

hyperspectral-image-classification-based-on-gramian-angular-fields-encoding

kelmor

A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression

keras_detect_tool_wear

Tool wear prediction by residual CNN

knowledge-graph

知识图谱-概念与技术

kuiliu

machine-learning-using-python

Regression, Classification and Clustering

ml

ml_bootcamp_udemy

Jupyter Notebooks for the Course Python for Data Science and Machine Learning Bootcamp by Jose Portilla on Udemy.

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