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aiproteomics

Generate and compare deep learning models for generating synthetic mass spectral libraries

Machine learning
mass spectrometry
phosphoproteomics
+ 1

Python
Shell

Clustering Geo-data Cubes

Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.

Big data
geospatial
Machine learning
+ 1

Python
Jupyter Notebook
TeX

chimp-classifier

The Python package `junglesounds` is a machine learning pipeline for classifying bioacoustic data using machine learning. The pipeline is reusable for other settings and species or vocalization types as long as a certain amount of labeled data has been collected.

audio
Audio processing
bioacoustics
+ 2

Jupyter Notebook
Python
Shell

cleanX

CleanX is an open-source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological images.

Image processing
Machine learning

Jupyter Notebook
Python
TeX
+ 3

DeepRank

Deep learning framework for data mining protein-protein interactions using CNN

Big data
Machine learning
Optimized data handling

Python
R
C
+ 2

DIANNA

Deep Insight And Neural Network Analysis, DIANNA is the only Explainable AI, XAI library for scientists supporting Open Neural Network Exchange, ONNX - the de facto standard models format.

Explainable AI
Image processing
Machine learning
+ 2

Jupyter Notebook
Python
TeX

Dive

Interactively explore millions of 2D and 3D data points in your browser, without the need to install anything.

Big data
Machine learning
Visualization

HTML
JavaScript
CSS
+ 1

e2e-Dutch

Coreference resolution for Dutch: automatically links references to the same entity in Dutch written texts.

Machine learning
Text analysis & natural language processing

Python
C++
Shell

eEecology Classification

Automatic classification of accelerometer data using a supervised learning approach.

Machine learning

Java
JavaScript
HTML
+ 3

EEG epilepsy diagnosis

R package developed to extract features from multivariate time series from EEG data and feed them into a random forest classifier.

Machine learning

R
Rebol

FastMLC

Detect clusters in for example large collections of DNA or protein sequences, and visualize the results in a web browser.

Big data
Machine learning
Visualization

C++
C
Makefile
+ 5

iScore

A framework and predictor based on support vector machine and random walk graph kernel for scoring protein-protein interfaces.

Big data
Machine learning

Python
Cuda
Makefile
+ 1