All software
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
JEMRIS
JEMRIS is a versatile, open-source, multi-purpose MRI simulator. It is well-suited for research and education.
- MRI
- Simulation
- C++
- Python
- MATLAB
- + 5
MFDFA
The Python package `MFDFA` provides the tools to perform a multifractal detrended fluctuation analysis that enables the investigation of stochastic processes where long-range memory and persistence are necessary to consider.
- Data analysis
- Energy
- ESD
- + 3
- 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
ETHOS.GLAES
GLAES is a framework for conducting land eligibility analyses and is designed to easily incorporate disparate geospatial information from a variety of sources into a unified solution.
- ESD
- ESD - Topic 1
- Python
- Batchfile
- Shell
GTlab
A C++ framework for collaborative engineering
- Aeronautics, Space and Transport
- C++
- optimization
- + 2
- C++
- CMake
- Python
- + 5