turovapolina

InterpretDL

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

ms2deepscore

Deep learning similarity measure for comparing MS/MS spectra with respect to their chemical similarity

SiameseChange

confusion

Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"

Trace-Peak-Picking-Adjusted

DeepRelevanceRegularization

deep_learning_in_proteomics

A list of tools on proteomics using deep learning

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

masterthesis_VAE

VAE, Variational Autoencoder, Deep Learning, Medical Imaging

msiPL

Python Implementation of the msiPL by Abdelmoula et al.

ExplainableCNN

Explainable CNN (XCNN)

off-sample

Mass spectrometry imaging data classification with convolutional neural networks

1D-MS_CumulativeLearningCNNs

CV2K

An automated approach for determining the number of components in non-negative matrix factorization

high_noise_clustering

Techniques to cluster very noisy data (dropouts or random noise)

fsfc

Feature Selection for Clustering

scikit-feature

open-source feature selection repository in python

EUFSFC

This project is the implementation of an efficient unsupervised feature selection method through feature clustering.

nonnegfac-python

Python toolbox for nonnegative matrix factorization

shap

A game theoretic approach to explain the output of any machine learning model.

practicals

tutorials

OxML2020

SCAN-tensorflow

A Tensorflow implementation of DeepMind's Symbol-Concept Association Network(SCAN: Learning Abstract Hierarchical Compositional Visual Concepts)

kaggle-understanding-cloud-organization

Solution for 95th/Top 6% place at Kaggle Understanding Cloud Organization

HOPLS

HOSVD-pytorch

A HOSVD implement in pytorch

Neural_Networks_and_CV

polinaTurova

resume web-site

pymzML

pymzML - an interface between Python and mzML Mass spectrometry Files

SupCP

Probabilistic tensor factorization with covariate supervision