Name: Aaron C Wacker
Type: User
Bio: Lover of life #artcollector & #scientist enjoying #oiloncanvas #sculpture #modernart #impressionism #fineart #machinelearning #IoT & #portraitpainting
Twitter: aaron_wacker
Location: Mound, Minnesota 55364
Blog: https://huggingface.co/awacke1
Aaron C Wacker's Projects
Source to app.diagrams.net
Clone to try a simple Electron app
Fast and lightweight JavaScript game engine built on WebGL and glTF
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
Fairness and Equity Research on Formulas and Factors for Equity
Basic machine learning examples for model training and deployment
A python tool to visualise game animations
Breed and share images using biggan
Gen2 video composition using code interpreter and moviepy
A hub for all of my generative art projects
gentle forced aligner
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
GLIDE: a diffusion-based text-conditional image synthesis model
We co-evolve with our tools. We invent our tools. And then our tools change us. -- Jeff Bezos
Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.
This app allows the user to click on the human body's areas with the mouse cursor while getting data-id of the selected human body part.
This is the external repository for OTU's IntelligentAgents Course.
Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).
Personal Homepage
komposto.org is a sketchbook of self-modifying programs.
LAVIS - A One-stop Library for Language-Vision Intelligence
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
See the project website at http://lhncbc.github.io/lforms/, or view the demo website at https://lhcforms.nlm.nih.gov/lhcforms.
Library for generating and working with MIDI files