This is your work, valued
building
chickadee. Simple, privacy-focused web analytics you can self-host on Cloudflare.
20SwiftDataAnimals_Migrations. https://developer.apple.com/documentation/swiftdata/adding-and-editing-persistent-data-in-your-app with Migrations and Testing
11react-navigation-horizontal-modal-stack. JavaScript
7frechet. Lexicographic Fréchet Matchings with Degenerate Inputs
4coronaticker. Dart
3towerwars. iOS tower-defence game by Tom and Anton
3DriveSchedule. C
3hashcode2019. JavaScript
3ASDS_ComE. Advanced Seminar Data Science: ComE
2abegehr. This is my GitHub repository. My website: begehr.me
2monsterjump. Dart
2AnimaBanana. Bring your characters to life with AI
2google-oauth2. Test Google OpenID/OAuth2 and GMail API with Node.js.
2verwaltungsbot-panel. panel for #WirVsVirus #verwaltungsbot
2ML_compare_mixture_algs. Comparing expectation maximization and variational inference algorithms for fitting Gaussian mixtures
2better-auth. The most comprehensive authentication library for TypeScript
1astro. The web framework for content-driven websites. ⭐️ Star to support our work!
1flutterflow-test. This is a test for FlutterFlow's GitHub integration
1client-sdk-ios. This package lets you start Vapi calls directly in your iOS app.
1pipecat-sandbox. https://discord.com/channels/1239284677165056021/1260602628803395645/1403775704247697539
1MT-paper-ComE-BGMM-VI. TeX
1MT-workspace. Master's Thesis workspace – Anton Begehr
1flutter_arkit_example. Dart
1ComE_BGMM. Implementation of the ComE algorithm using a Bayesian Gaussian mixture model and variational inference (BGMM+VI) for community embedding instead of a non-Bayesian Gaussian mixture model and expectation maximization (GMM+EM). The advantage of BGMM+VI over GMM+EM is that the hyper-parameter number of communities K acts as an upper bound and unused communities are discarded using the trade-off hyper-parameter weight concentration prior.
1