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Statistical Rethinking course and book package
Statistical Rethinking Course for Jan-Mar 2023
An Obsidian theme inspired by the beautifully-designed app, Things.
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
A Comprehensive Tutorials on Digital Image Processing
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
Moodle-DL downloads course content fast from Moodle (eg. lecture pdfs)
A Python bootcamp for medical students designed to teach basic DICOM and imaging data handling skills.
Curated papers on Large Language Models in Healthcare and Medical domain
A self-explanatory, hands-on intro to bioimage analysis in python. Slightly outdated but still much liked by learners.
TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.
Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net
Automatic extraction of relevant features from time series:
Code Repository for Machine Learning with PyTorch and Scikit-Learn
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
A python library for hierarchical classification compatible with scikit-learn
Data Analysis and Machine Learning on Physical monitoring data
Applying a hierarchical Deep Learning to sensor stream data collected from smartphones and smartwatches to recognize the activity of users.
Using Machine Learning to determine Human Activity using data from 6 d.o.f. IMU sensor.
Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standin…
DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals