GitHub topics: hybrid-learning
graasp/graasp-app-collaborative-ideation
A Graasp App to facilitate collaborative ideation sessions.
Language: TypeScript - Size: 11.6 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 1
ksatrajit0/MRI-Alz-DeepEnsemble-XAI
Alzheimer's disease classification from MRI scans using hybrid learning and XAI
Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
rajin-khan/GridGenius
AI-Powered Web Tool with Live Predictions and a ChatBot for energy consumption forecasting.
Language: Jupyter Notebook - Size: 165 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1
danielathome19/Form-NN
Master thesis project - a hybrid Neural Network-Decision Tree system and dataset for classical music form recognition and analysis.
Language: Python - Size: 907 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 1
corsair92/Custom-H5P-Presentation
A custom new presentation format within H5P. This content type allows the integration advanced features an instructor simulator, interactive custom elements, and in-line quizzes
Language: JavaScript - Size: 2.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
becklog/digitallab-hshl
A hybrid-/remote-environment which enables remote flashing of microcontrollers via a low-cost server, so that students can test standard sensors/actuators kits along a self-paced learning-path.
Language: C++ - Size: 4.86 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
lprtk/hybrid-learning-prototype
Exploring hybride learning prototype
Language: Jupyter Notebook - Size: 426 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
quaziadib/A-Deep-Hybrid-Learning-to-Detect-Bangla-Fake-News
Language: Python - Size: 85.9 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
expectopatronm/Rommelag-Defect-Identification-Challenge
Defect Identification Challenge to find an efficient and exact process for error detection in the production line using Computer Vision, Deep Learning or Classical Machine Learning based techniques.
Language: Jupyter Notebook - Size: 9.02 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0
