Parcels (Probably A Really Computationally Efficient Lagrangian Simulator) is a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. Parcels can be used to track passive and active particulates such as plastic and fish.
ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.
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.
Graphical User Interface around Wikidata that uses SPARQL to collect data
An application that uses cross-perspective topic modeling to extract topics and opinions from text and provides insight into how they change over time.
Construction and efficient execution of computational chemistry workflows.
doc2vec-based assisted close reading with support for abstract concept-based search and context-based search
Task-based parallel programming model in Python that offers the same intuitive interface when running complex workflows on your laptop or on large computer clusters.
Genome-wide detection of structural variants using deep learning
Retrieve recent tweets from certain users and classify them with machine learning
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.
Deep learning based similarity measure of mass spectrometry data.