-
Adam Mickiewicz University in Poznań
- Poznań, Poland
- https://awojt.pl
- https://orcid.org/0000-0003-1385-6572
Highlights
- Pro
Stars
OpenID Certified™ OpenID Connect Relying Party implementation for Apache HTTP Server 2.x
Open-source scientific and technical publishing system built on Pandoc.
Pure JavaScript library for better notification messages
RMarkdown tools for creating self-guided web exercises
WebAssembly powered code blocks and exercises for both the R and Python languages in Quarto documents
Quarto extension to embed Shinylive for Python applications
A Grafana plugin app to create PDF reports of dashboards
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
trying to collect all useful tutorials for famous C math and linear algebra libraries such as CBLAS, CLAPACK, GSL...
A sample page for how to use mod_auth_form in Apache 2.4+ under Ubuntu.
ShellCheck, a static analysis tool for shell scripts
A curated list of ontologies, controlled vocabularies and semantic artifacts for the social sciences
AITech MSc project - 'Classification of Interior Architectural Styles using Deep Learning'. This research and development project aims to use deep learning algorithms to automatically classify inte…
Self-contained, minimalistic implementation of diffusion models with Pytorch.
Lightweight Armoury Crate alternative for Asus laptops and ROG Ally. Control tool for ROG Zephyrus G14, G15, G16, M16, Flow X13, Flow X16, TUF, Strix, Scar and other models
Learn RegEx step by step, from zero to advanced.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Pythonic AI generation of images and videos
A playbook for systematically maximizing the performance of deep learning models.
Binary and multiclass image segmentation loss functions implemented in Keras