Michael Baumgartner's Projects
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Baseline model and job submission templates for the use-case "Health" of the AI-HERO hackathon 2022 on energy efficient AI
Personal Ansible Configuration for Desktop and Server
Learn to Code While Building Apps - The Complete iOS Development Bootcamp
Companion Code for the Authentication Module on The Complete 2019 Web Development Bootcamp
:pencil: Markdown code for lots of small badges :ribbon: :pushpin: (shields.io, forthebadge.com etc) :sunglasses:. Contributions are welcome! Please add yourse!
COCO API - Dataset @ http://cocodataset.org/
Introduction to Parallel Programming class code
WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"
Draft of the fastai book
Automated lung segmentation in CT
Personal Website Michael Baumgartner
AI Toolkit for Healthcare Imaging
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
An object relational mapping for the LIDC dataset using sqlalchemy.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Model summary in PyTorch similar to `model.summary()` in Keras
The tool for checking and helping with compliance with the REUSE recommendations
Provides everything needed for high performance data loading and augmentation in pytorch.
1st place solution for SIIM-FISABIO-RSNA COVID-19 Detection Challenge
:pancakes: The sweeter pytest snapshot plugin
A template repository to quickly start new python projects with an already working package structure and CI/CD
:art: A theme for Ulauncher based on Palenight Theme Vscode
Datasets, Transforms and Models specific to Computer Vision
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent