https://github.com/chrisgrieser/alfred-reminders-today
Display and edit reminders due today.
https://github.com/cjfcsjt/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
https://github.com/chrisgrieser/alfred-reddit-browser
Browse your favorite subreddits (and hackernews) via Alfred.
https://github.com/chrisgrieser/alfred-read-later
Simple standalone read-later-app for Alfred. Saves the items in plaintext on your device.
https://github.com/chrisgrieser/alfred-quick-file-access
Quickly access recent files, files with a specific tag, files in the current window, files in the downloads folder, or trashed files.
https://github.com/christianparsons98/pg_lab_code
This repository will include code developed for use by PG group for lab operations.
https://github.com/chrisklsmith/dl4wsicompression
Exploring Deep Learning Approaches to Whole Slide Image Compression code repository
https://github.com/chrisschuerz/swatreadr
Read and write SWAT+ input and output files
https://github.com/chrisschuerz/swatdata
SWAT project datasets for SWATplusR and SWATfarmR
https://github.com/christian-byrne/tucson-crime-models
modeling and predicting crime in Tucson
https://github.com/christian-byrne/youtube-dl-comfyui
Provide a URL to some media (e.g., youtube) → DL and convert to tensor automatically
https://github.com/christian-byrne/size-match-compositing-nodes
ComfyUI custom nodes to match size of images and composite image layers
https://github.com/christian-byrne/primevue-transform-test-playground
Playgound to test various hooks, props, overrides, patches used to make primevue components work with transform
https://github.com/christian-byrne/prolog-test-scripts
logical programming 2024
https://github.com/christian-byrne/lazy-node-demo
A better way to write ComfyUI custom nodes
https://github.com/christian-byrne/img2txt-comfyui-nodes
Implements popular img2txt captioning models into ComfyUI nodes
https://github.com/christian-byrne/image-question-answer
create models that answer binary questions about photos. from fastai practical deep learning