All software
evidence
doc2vec-based assisted close reading with support for abstract concept-based search and context-based search
- Text analysis & natural language processing
- CSS
- Dockerfile
- Go
- + 5
Noodles
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.
- High performance computing
- Workflow technologies
- HTML
- Jupyter Notebook
- Lua
- + 2
Hercules
Retrieve recent tweets from certain users and classify them with machine learning
- Machine learning
- Text analysis & natural language processing
- Jupyter Notebook
- Python
- Shell
Data underlying the publication/thesis chapter: Scale Learning in Scale-Equivariant Convolutional Networks
Data underlying the publication/thesis chapter: Scale Learning in Scale-Equivariant Convolutional Networks
- computer vision
- Convolutional neural network (CNN)
- equivariance
- + 3
- JSON
- Jupyter Notebook
- Markdown
- + 5
SWMM_GNN_Component_Evaluation_and_Transferability_Analysis
Code for paper "Evaluation of Graph Neural Networks for Urban Drainage Metamodeling: Key Components and Transferability Analysis"
- Graph Neural Network
- Hyperparameter Tuning
- Stormwater management model (SWMM)
- + 3
- Jupyter Notebook
- Markdown
- Other
- + 2
Beyond the book
Measure the number of contributions to Wikipedia entries from individuals from different counties as a measure of cultural bias.
- Text analysis & natural language processing
- CSS
- HTML
- JavaScript
- + 2
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
PyChelator
PyChelator is a Python-based Colab and web application for metal chelator calculations, taking into account pH, temperature, and ionic strength. The build-in constants can be used for EGTA and ATP as chelators, together with Calcium and Magnesium as metals. User-defined constants can be used.
- application
- calcium
- chelator
- + 7
- CSS
- HTML
- JavaScript
- + 2
SalientDetector-python
If you want to automate your object detection or photo-identification image tasks in an easy way with free open-source software, the SalientDetector-Python is the tool for you
- Image processing
- Jupyter Notebook
- Makefile
- Python
Catalyst
Morph: Code Supporting the Publication: Dynamic Topology Optimization for Non-IID Data in Decentralized Learning
- asynchronous
- Byzantine Robustness
- Client Heterogeneity
- + 1
- Jupyter Notebook
- Markdown
- Other
- + 2
Code underlying the publication: "Humans disagree with the IoU for measuring object detector localization error."
Code underlying the publication: "Humans disagree with the IoU for measuring object detector localization error."
- Human preference
- Intersection over Union (IoU)
- Object detection
- Jupyter Notebook
- Markdown
- Other
MC_RB_EM_1D
Data and scripts underlying the publication: Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements
- electromagnetic induction
- frequency domain electromagnetics
- inversion
- Jupyter Notebook
- Markdown
- Other
- + 1