PreDiCT.IDLab's repositories
plotly-resampler
Visualize large time series data with plotly.py
tsdownsample
High-performance time series downsampling algorithms for visualization
sleep-linear
Do not sleep on traditional machine learning for sleep stage scoring
ts-datapoint-selection-vis
Data Point Selection for Line Chart Visualization: analysis notebooks and implementation details
MinMaxLTTB
MinMax-preselection for Efficient Time Series Line Chart Visualization (using LTTB)
cmc-learner
Implementation of Conformal Monte Carlo (CMC) learner
crepes-weighted
Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
landmarker
PyTorch-based toolkit for landmark detection
data-quality-challenges-wearables
Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, methodologies and practical solutions for wrist-worn wearable monitoring
gssp_analysis
Analysis notebooks and scripts of the gssp web app data collection
gssp_web_app
Web application to acquire picture description speech data according to the GSSP
webthing-client-python
Python client for Dynamic Dashboard Webthings
context-learning-with-graphs
Code for the paper: "A Perspective On Contextual Learning Using Graph Based Environment Representations"
mcsa-misalignment
Examining Motor Current Sensors of Low and High Quality: Ablation Study on Window Sizes with a Fault-Emulating Setup
Tree-Visualization
Visualization of Patient graphs using plotly. Hosts a github page for a plotly example of a synthetic patient graph.