Dani L Bodor
DeepRank2
DeepRank2 is an open-source deep learning framework for data mining of protein-protein interfaces or single-residue missense variants. This package is an improved and unified version of three previously developed packages: DeepRank, DeepRank-GNN and DeepRank-Mut.
- Cancer vaccine
- Convolutional Neural Network
- Deep Learning Framework
- + 5
- (Dockerfile)
- ("Jupyter Notebook")
- (Python)
- + 1
DeepRank2
DeepRank2 is an open-source deep learning framework for data mining of protein-protein interfaces or single-residue missense variants. This package is an improved and unified version of three previously developed packages: DeepRank, DeepRank-GNN and DeepRank-Mut.
- Cancer vaccine
- Convolutional Neural Network
- Deep Learning Framework
- + 5
- (Dockerfile)
- ("Jupyter Notebook")
- (Python)
- + 1
NeuroGym
NeuroGym is a curated collection of neuroscience tasks with a common interface. The goal is to facilitate the training of neural network models on neuroscience tasks.
- deep learning
- Machine learning
- Neuroscience
- + 3
- (Python)
Tilburg University Coding Café
Materials for Tilburg University's Coding Café
- community
- learning materials
- presentation
- + 3
LARA Lab Automation
Open source toolset for lab automation
- laboratory automatization
- (Dockerfile)
- (HTML)
- (Makefile)
- + 3
eitprocessing
eitprocessing is an open source collaborative python library for the processing and analysis of electrical impedance tomography for clinical use.
- Electrical impedance tomography
- Image processing
- python
- (Dockerfile)
- ("Jupyter Notebook")
- (Python)
ANNUBeS
ANNUBeS is a deep learning framework meant to generate synthetic data and train on them neural networks aimed at developing and evaluating animals' training protocols in neuroscience.
- neural networks
- Neuroscience
- (Python)