All software
spec2vec
spec2vec is a novel similarity measure for comparing mass spectrometry data, which learns peak representations using Word2Vec.
- Machine learning
- Text analysis & natural language processing
- Python
- Batchfile
- Makefile
NNPDF
Fitting proton substructure to observation data using neural networks
- Machine learning
- Python
- Jupyter Notebook
- C
- + 5
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
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
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
- Python
- Cuda
- Makefile
- + 1
mcfly
Helps you find a suitable neural network configuration for deep learning on time series.
- auto-ml
- deep learning
- Machine learning
- + 1
- JavaScript
- Python
- CSS
- + 1
GSA report
GSAreport is an application to easily generate reports that describe the global sensitivities of your input parameters as best as possible. You can use the reporting application to inspect which features are important for a given real world function / simulator or model.
- Explainable AI
- Machine learning
- python
- + 1
- Python
- HTML
- CSS
- + 1
laserchicken
Toolkit for preprocessing and feature calculation of point clouds created using airborne laser scanning
- Big data
- Machine learning
- Python
- Jupyter Notebook
DIANNA
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.
- Explainable AI
- Image processing
- Machine learning
- + 2
- Jupyter Notebook
- Python
- TeX
Dive
Interactively explore millions of 2D and 3D data points in your browser, without the need to install anything.
- Big data
- Machine learning
- Visualization
- HTML
- JavaScript
- CSS
- + 1
Machine learning-based classification model corresponding to the paper 'Machine learning to improve orientation estimation in sports situations challenging for inertial sensor use'
Machine learning-based classification model corresponding to the paper 'Machine learning to improve orientation estimation in sports situations challenging for inertial sensor use'
- Inertial Measurement Unit
- kinematics
- Machine learning
- + 3