Pinned Repositories
BalancedLossNLP
foxops
Templating for Git Repositories
gitlab-configuration-as-code
Manage GitLab configuration as code to make GitLab easily managable, traceable and reproducible.
gitlab-stats
Gitlab Stats provides more statistics from the GitLab API services
neuro-green
This project contains the code for a deep learning architecture to analyze EEG data.
neuro-meeglet
Complex-valued Morlet wavelets for EEG signal analysis and feature engineering.
neuro-meeglet-paper
Code for spectral analysis of EEG using Morlet wavelets based on the frequency-based parametrization presented in [Bomatter et al 2024, eBioMedicine](https://doi.org/10.1016/j.ebiom.2024.105259)
pyreadstat
Python package to read sas, spss and stata files into pandas data frames. It is a wrapper for the C library readstat.
respectables
R package to specify relational specified data tables
the-ambassador
The Ambassador helps users of coding platforms to create findable, well maintained, properly documented and secure projects. It's purpose is to promote creating Open Source and InnerSource software, that others can rely on. It measures project scores (criticality, activity, scorecard), proactively advises projects.
F. Hoffmann-La Roche's Repositories
Roche/pyreadstat
Python package to read sas, spss and stata files into pandas data frames. It is a wrapper for the C library readstat.
Roche/BalancedLossNLP
Roche/gitlab-configuration-as-code
Manage GitLab configuration as code to make GitLab easily managable, traceable and reproducible.
Roche/foxops
Templating for Git Repositories
Roche/neuro-green
This project contains the code for a deep learning architecture to analyze EEG data.
Roche/gitlab-stats
Gitlab Stats provides more statistics from the GitLab API services
Roche/neuro-meeglet
Complex-valued Morlet wavelets for EEG signal analysis and feature engineering.
Roche/the-ambassador
The Ambassador helps users of coding platforms to create findable, well maintained, properly documented and secure projects. It's purpose is to promote creating Open Source and InnerSource software, that others can rely on. It measures project scores (criticality, activity, scorecard), proactively advises projects.
Roche/neuro-meeglet-paper
Code for spectral analysis of EEG using Morlet wavelets based on the frequency-based parametrization presented in [Bomatter et al 2024, eBioMedicine](https://doi.org/10.1016/j.ebiom.2024.105259)
Roche/respectables
R package to specify relational specified data tables
Roche/Global-HTA-Evidence-Open
Collection of R Packages that support analysis for the purposes of Health Technology Assessment (HTA)
Roche/MAIC
R package that facilitates performing matching-adjusted indirect comparison (MAIC) anaylsis for a disconnected treatment network where the endpoint of interest is either time-to-event (e.g. overall survival) or binary (e.g. objective tumor response).
Roche/gemtcPlus
R package that provides models and functions to fit non-standard NMAs: piecewise exponential models and fractional polynomial models for grouped survival data (derived from digitized Kaplan-Meier curves).
Roche/descem
R package that facilitates the use of discrete event simulations without resource constraints for cost-effectiveness analysis.
Roche/NonadditivityAnalysis
The NonadditivityAnalysis tool offers an extensive statistical examination of nonadditivity (NA) within Structure-Activity Relationship (SAR) datasets pertaining to small molecules.
Roche/rpsftmPlus
R package that extends the rpsftm package with some useful default reports and functions to facilitate sensitivity analysis. Covering descriptive, diagnostic and reporting aspects.
Roche/flexsurvPlus
R package that facilitates performing survival analysis to support the creation of Excel based economic models by providing helper functions to use alongside the flexsurv package.
Roche/foxops-client-python
Roche/smart-on-fhir-tutorial
Smart on FHIR application for open.epic
Roche/terraform-provider-foxops
Roche/WUCSS
The WUCSS module is part of a Python-based workflow for analyzing in vivo rodent electrophysiology data and was developed by the Neural Circuits Lab, part of Neuroscience and Rare Diseases (NRD) at Roche. The module uses machine learning techniques to further classify rodent sleep into light, deep and REM sleep.
Roche/AMASC
A machine learning-based method for identifying cell-type markers for scRNA-seq
Roche/CSL-Tox
Roche/spock-geb-quickstart
A quickstart for frontend tests.
Roche/neuro-forestwalk
The neuro-ForestWalk tool, created by Roche's Neuroscience and Rare Diseases and Data and Analytics teams, uses advanced machine learning to improve the beam walk test analysis in mice. It enhances scientific research, promotes standardization, and contributes to animal welfare.
Roche/SensorMonitor
Roche/testMigration