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Framework for Raman spectroscopy analysis

1d-grad-cam-for-interpretable-intelligent-fault-diagnosis

智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis

1d_diffusion_model

Research and code regarding time series diffusion models

analysis-of-data-synthesis-for-raman-spectroscopy

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

bacteria-id

Source code and demos for "Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning"

bacteria-sanet

Source code and demos for "Scale-adaptive Deep Model for Bacterial Raman Spectra Identification"

bss-plsr-for-spectroscopy-analysis

Blind Source Separation - Partial Least Squares Regression framework for spectroscopy mixture data, such as Raman and FTIR. The BSS code identifies the sources in the mixtures, which are then correlated with reference spectra of the chemical species. If the user has defined target species to be quantified, the signals of the non-target species can

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

ca-tcc

Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

cl-baselines

This is a Pytorch implementation of contrastive Learning(CL) baselines.

clustering

Clustering algorithms and common libraries in matlab

cnn_liver-cancer_raman

comet

[Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series

contrastive-clustering

Code for the paper "Contrastive Clustering" (AAAI 2021)

contrastive_learning_codes

A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam

contrastivelearninghar

Contrastive Learning (SimCLR) for Human Activity Recognition

cpc_deepcluster

This is the implementation of "SELF SUPERVISED REPRESENTATION LEARNING WITH DEEP CLUSTERING FOR ACOUSTIC UNIT DISCOVERY FROM RAW SPEECH" submitted to ICASSP 2022

dec

dec-pytorch

deep-clustering

deep clustering papers

deep-learning-for-clustering-in-bioinformatics

Deep Learning-based Clustering Approaches for Bioinformatics

deep-learning-for-oscc

Five deep models for OSCC

deepcid

Deep-Learning-Based Components Identification for Raman Spectroscopy

deepclustering

Methods and Implements of Deep Clustering

deepdenoiser

DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks

deepdpm

"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]

deepei

Predicting molecular fingerprint from electron−ionization mass spectrum with deep neural networks