Pinned Repositories
ACCESS
ACCESS (Assistive Course Creation and Evaluation of Student Submissions Tool) was developed by Alexander Hofmann, Philip Hofmann, Mervin Cheok and Luka Lapanashvili during their master studies in computer science at the University of Zuerich UZH. ACCESS has successfully been used in production for a semester by 450 students.
ACCESS_Backend
The backend for the assistive course creation and evaluation student submission tool
ACCESS_Frontend
The frontend for the automated course creation and evaluation student submission tool
LegalHistoryTimelinePrototype
This is a web application prototype programmed by Philip Hofmann with THREE.js, during his student job as programmer at the Faculty of Law at the University of Zurich (UZH). The development was requested and happened in collaboration with Antonia Hartmann from professorship Thier at UZH.
models
All my self trained & released AI upscaling models. After gathering and applying over 600 different upscaling models, I learned how to train my own models, and these are the results.
open-model-database
An open and free database for AI models
PersonalAnalytics-FocusSession
My masterthesis code I programmed. The goal of FocusSession is to support knowledge workers focus on a specific task by reducing distractions and context switches. https://youtu.be/RsMGO8-sHPs
ShareArchiver
My own file compressor & archiver. Uses the most optimal algorithm (LZMA, CSArc, ZPAQ, PPmd, GLZA ...) for each single file, within the same archive (so mixed algos)! Since an archive gets uploaded once and downloaded thousands of times, this is optimized for strong asymmetrical compression (fast decompression, slow compression) for smallest size.
studybuddy-web
upscale
My VitePress website I made to visually compare the output I created with over 600 different AI upscaling models. Running under https://phhofm.github.io/upscale/
Phhofm's Repositories
Phhofm/models
All my self trained & released AI upscaling models. After gathering and applying over 600 different upscaling models, I learned how to train my own models, and these are the results.
Phhofm/upscale
My VitePress website I made to visually compare the output I created with over 600 different AI upscaling models. Running under https://phhofm.github.io/upscale/
Phhofm/LegalHistoryTimelinePrototype
This is a web application prototype programmed by Philip Hofmann with THREE.js, during his student job as programmer at the Faculty of Law at the University of Zurich (UZH). The development was requested and happened in collaboration with Antonia Hartmann from professorship Thier at UZH.
Phhofm/open-model-database
An open and free database for AI models
Phhofm/PersonalAnalytics-FocusSession
My masterthesis code I programmed. The goal of FocusSession is to support knowledge workers focus on a specific task by reducing distractions and context switches. https://youtu.be/RsMGO8-sHPs
Phhofm/studybuddy-web
Phhofm/ACCESS
ACCESS (Assistive Course Creation and Evaluation of Student Submissions Tool) was developed by Alexander Hofmann, Philip Hofmann, Mervin Cheok and Luka Lapanashvili during their master studies in computer science at the University of Zuerich UZH. ACCESS has successfully been used in production for a semester by 450 students.
Phhofm/ACCESS_Frontend
The frontend for the automated course creation and evaluation student submission tool
Phhofm/Papers
A repository containing some of the papers I had produced or written during my bachelors and master studies at University of Zuerich.
Phhofm/ShareArchiver
My own file compressor & archiver. Uses the most optimal algorithm (LZMA, CSArc, ZPAQ, PPmd, GLZA ...) for each single file, within the same archive (so mixed algos)! Since an archive gets uploaded once and downloaded thousands of times, this is optimized for strong asymmetrical compression (fast decompression, slow compression) for smallest size.
Phhofm/bfgtest
Phhofm/compose-spec
The Compose specification
Phhofm/custom-models
A repository for extra custom models for Upscayl.
Phhofm/DAT
PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"
Phhofm/gatsby
Phhofm/helpful-scripts
Various scripts, mostly intended to help with model training and dataset creation
Phhofm/hofmannFamily
Phhofm/ionic-docs
Phhofm/neosr-fork
neosr is a framework for training real-world single-image super-resolution networks.
Phhofm/splinterlands-bot
Phhofm/StarSRGAN
Official PyTorch Implementation of "StarSRGAN: Improving Real-World Blind Super-Resolution" (WSCG 2023)
Phhofm/tailwind-clipboard
A Tailwind Website following along the Tailwind CSS Course
Phhofm/tailwind-fylo
Phhofm/tailwind-loopstudios
Loopstudios project
Phhofm/tailwind-sandbox
Sandbox used with the Tailwind From Scratch course
Phhofm/Timeline
A ThreeJS Timeline I made at RWF UZH
Phhofm/traiNNer-redux-FJ-ext
(Fork of BasicSR) Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, OmniSR, HAT, GRL, etc. Also support StyleGAN2, DFDNet.
Phhofm/upscale-old
The visual comparison upscale website, in its original state, to make a copy that is still accessible online, before I start reworking it.
Phhofm/upscale_vitepress
Phhofm/yellowcake