All software
Code for FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic
Code for FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic
- Mobile Traffic
- Security
- Python
- Other
- Markdown
NNPDF
Fitting proton substructure to observation data using neural networks
- Machine learning
- Python
- Jupyter Notebook
- C
- + 5
ESMValCore
ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.
- Big data
- Optimized data handling
- Visualization
- + 1
- Python
- Jupyter Notebook
- HTML
- + 5
MS2DeepScore
Deep learning based similarity measure of mass spectrometry data.
- Jupyter Notebook
- Python
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
- C
FAIR Data Point
RESTful web service that enables data owners to expose their data sets using rich machine-readable metadata.
- Big data
- Inter-operability & linked data
- Python
- Makefile
- Dockerfile
Kernel Tuner
Kernel Tuner greatly simplifies the development of highly-optimized and auto-tuned CUDA, OpenCL, and C code, supporting many advanced use-cases and optimization strategies that speed up the auto-tuning process.
- Big data
- GPU
- High performance computing
- + 3
- Python
DeepRank GNN
DeepRank-GNN is the graph neural network of our DeepRank package. DeepRank GNN allows to train graph neural networks to classify protein-protein interface
- Machine learning
- Protein-Protein Interaction
- Python
matchms
Python library for fuzzy comparison of mass spectrum data and other Python objects
- Big data
- Optimized data handling
- Python
- TeX
- Batchfile
- + 1
MAGMa
MAGMa is an online application for the automatic chemical annotation of mass spectrometry data.
- Big data
- Visualization
- Python
- JavaScript
- Makefile
- + 5
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
- Python
- PureBasic
- + 1
DeepRank
Deep learning framework for data mining protein-protein interactions using CNN
- Big data
- Machine learning
- Optimized data handling
- Python
- R
- C
- + 2