All software
Parcels
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.
- lagrangian-ocean-modelling
- ocean-circulation-models
- particles
- Python
GrainLearning
Unsure about the parameters of your grains in a computer simulation? Use Iterative Bayesian Filtering to learn parameter distributions from limited data. Is your model running slowly? Speed up your simulations with machine-learning surrogates. All these features are integrated within GrainLearning.
- Bayesian Inference
- Data assimilation
- Machine learning
- + 2
- Jupyter Notebook
- PureBasic
- Python
- + 1
MAGMa
MAGMa is an online application for the automatic chemical annotation of mass spectrometry data.
- Big data
- Visualization
- CSS
- Cython
- Dockerfile
- + 5
TraP: The LOFAR Transients Pipeline
The LOFAR Transients Pipeline (or "TraP") is a Python and SQL based system for detecting and responding to transient and variable sources in a stream of astronomical images.
- Image processing
- radio astronomy
- Source association
- + 3
- Mako
- PLpgSQL
- Python
- + 1
CHI2023_DKE
User Interaction Dataset for CHI 2023 paper "Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems."
- Appropriate Reliance
- DunningKruger Effect
- Human-AI Decision Making
- + 1
- large-text-file
- Markdown
- Other
- + 2
PROTEUS
PROTEUS is a Python framework that simulates the coupled evolution of the atmospheres and interiors of rocky planets.
- Exoplanets
- model coupling
- Julia
- Jupyter Notebook
- Python
- + 2
iScore
A framework and predictor based on support vector machine and random walk graph kernel for scoring protein-protein interfaces.
- Big data
- Machine learning
- Protein-Protein Interaction
- C++
- Cuda
- Makefile
- + 1
Code for Tiresias: Predicting Security Events Through Deep Learning
Code for Tiresias: Predicting Security Events Through Deep Learning
- Event Analysis
- Security
- Markdown
- Other
- Python
DeepCASE
Code for DeepCASE: Semi-Supervised Contextual Analysis of Security Events
- Event Analysis
- Security
- JSON
- large-text-file
- Markdown
- + 2
DeepLog
Code for DeepLog: Anomaly detection and diagnosis from system logs through deep learning
- Event Analysis
- Security
- large-text-file
- Markdown
- Other
- + 1
Ersilia Model Hub
The Ersilia Model Hub is an open source platform to serve AI/ML models for infectious disease drug discovery.
- AI
- Chemistry
- Drug discovery
- + 1
- Dockerfile
- Jupyter Notebook
- Python
grlc
Builds a web API from SPARQL queries hosted on GitHub to accessing triple store data.
- garlic
- Inter-operability & linked data
- CSS
- Dockerfile
- HTML
- + 4