All software
PeTrack
PeTrack (Pedestrian Tracking) automatically extracts accurate pedestrian trajectories from video recordings (calibration, recognition, tracking). Individual codes enable personalized trajectories with static information of each participant. With a stereo camera also markerless tracking is possible.
- Annotation
- Calibration
- Computer Vision
- + 17
- C++
- Python
- CMake
- + 2
simplifyEnrichment
A new clustering algorithm, "binary cut", for clustering similarity matrices of functional terms is implemeted in this package. It also provides functions for visualizing, summarizing and comparing the clusterings.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- CSS
SeisBench: A toolbox for machine learning in seismology
SeisBench is an open-source Python toolbox for machine learning in seismology. It brings together the whole machine learning model lifecycle: datasets and benchmarks, models and training pipelines, and efficient implementations for deploying the models in production.
- Earth & Environment
- GPU
- Helmholtz AI
- + 4
- Jupyter Notebook
- Python
rGREAT
GREAT is a type of functional enrichment analysis directly performed on genomic regions. This package implements the GREAT algorithm, also it supports directly interacting with the GREAT web service (the online GREAT analysis). Both analysis can be viewed by a Shiny application.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- C++
cola
Subgroup classification is a basic task in genomic data analysis. The cola package provides a general framework for subgroup classification by consensus partitioning.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- C++
Heat
Heat is a flexible and seamless open-source software for high performance data analytics and machine learning. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI.
- CPU
- Data analysis
- GPU
- + 4
- Python
- Shell
- Dockerfile
Julearn
Julearn aims to provide an easy-to-use but flexible interface to build predictive models with cross-validation (CV) consistent performance estimates. It poses as a solution accessible to domain experts without extensive ML training, enabling them to quickly fit and evaluate ML algorithms.
- Machine learning
- Neuroimaging
- python
- Python
CellRank
CellRank is a computational framework to study cellular fate decisions based on various types of single-cell genomics data. CellRank scales to large cell numbers, is fully compatible with the scverse ecosystem, and is easy to use.
- Data analysis
- fate mapping
- fate prediction
- + 7
- Python
Stable-Baselines3
Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch.
- Machine learning
- robotics
- Python
- Shell
- Makefile
- + 1
Cheetah
Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.
- Automatic Differentiation
- Differentiable Programming
- Differentiable Simulation
- + 7
- Python
DataSAIL
DataSAIL is an open-source software tool that splits machine learning datasets while minimizing Information Leakage. It formulates the splitting of a dataset as a constrained minimization problem and optimizes the data split towards an objective function that accounts for information leakage.
- Convex Optimization
- data management
- Data Splitting
- + 3
- Python
- Smarty
DL4PuDe
DL4PuDe is an AI-based framework that automatically detects pushing behavior in crowd videos, leading to a better understanding of pushing dynamics. This knowledge is crucial for better crowd management strategies and better design of public places, making public places more comfortable and safer.
- Artificial Intelligence
- Crowd Management
- Deep Learning
- + 3
- Jupyter Notebook
- Python
- Cuda
- + 2