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Data cleaning and visualisation for automatically collected feed intake data
Tools to set up a quick macOS VM in QEMU, accelerated by KVM.
Make any web page a desktop application
A guide to get either Yuzu or Ryujinx running on your PC. Includes links for games, keys, firmware, shaders and some other stuff. Made for 128BitBay.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Resource hub for Obsidian resources.
Supplemental materials for publication 'Applications of unsupervised machine learning in livestock behavior: Case studies in recovering unanticipated behavioral patterns from precision livestock fa…
Linux Driver for USB WiFi Adapters that are based on the RTL8812BU and RTL8822BU Chipsets - v5.13.1
Gateshark cheat code database for Luma3DS 9.1+ and Atmosphere 0.8.5+
Fast and simple homebrew save manager for 3DS and Switch.
Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
Tools to set up a easy, quick macOS VM in QEMU, accelerated by KVM. Works on Linux AND Windows.
Run macOS on QEMU/KVM. With OpenCore + Monterey + Ventura + Sonoma support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.
DSU Server for (DualShock 4 / DualSense) controllers for MacOS. To be used with the Dolphin emulator.
DeepFaceLab is the leading software for creating deepfakes.
Obsidian plugin which integrates your academic reference manager with the Obsidian editor. Search your references from within Obsidian and automatically create and reference literature notes for pa…
A Machine Learning Tutorial for Veterinarians
The biggest collection of R books (and maybe later some other resources too)
An outlook add-in which helps to edit markdown, convert it to html and insert it to the email body.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis