spec2vec
spec2vec is a novel similarity measure for comparing mass spectrometry data, which learns peak representations using Word2Vec.
spec2vec is a novel similarity measure for comparing mass spectrometry data, which learns peak representations using Word2Vec.
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.
Helps you find a suitable neural network configuration for deep learning on time series.
Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.
Automatic classification of accelerometer data using a supervised learning approach.
Deep learning framework for data mining protein-protein interactions using CNN
Genome-wide detection of structural variants using deep learning
Retrieve recent tweets from certain users and classify them with machine learning
A framework and predictor based on support vector machine and random walk graph kernel for scoring protein-protein interfaces.
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.
Interactively explore millions of 2D and 3D data points in your browser, without the need to install anything.
Detect clusters in for example large collections of DNA or protein sequences, and visualize the results in a web browser.