A collection of machine-learned models for use in autonomous driving applications.
- model-zoo
- autoware
- machine-learning
- autonomous-driving
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A collection of machine-learned models for use in autonomous driving applications.
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
Gaussian processes and Bayesian optimization for images and hyperspectral data
Detect the sentiment captured in short pieces of text
Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.
An extension for Wagtail's ModelAdmin for a page explorer-like navigation of Django model relationships
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
MCP server for spatial transcriptomics analysis through natural language interfaces.
Python package for inverse kinematic calculations of hybrid serial parallel robots
IQM & EXM model format specs, Blender exporter, and LÖVE loader.
micropidash: A non-blocking web interface library for MicroPython microcontrollers. Featuring real-time sync, independent dark mode, and easy hardware integration via uasyncio.
Cryptographic Dataset Generation & Modelling Framework
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
A website to teach Wagtail CMS to content editors, moderators and administrators.
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
Generate a summarized description of a body of text
Auto-build JSON API from sqlalchemy models using the pyramid framework
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history. Connect any compatible agent through local MCP or the CLI.
YOLOv5 - most advanced vision AI model for object detection. Natively implemented in PyTorch and exportable to TFLite for use in edge solutions.
Runtime guardrails for Claude Code. Auto-approve what's safe, gate what's risky, block what's dangerous. Dual enforcement, full audit trail. MIT.
Plan and train German transformer models.
Catch your AI agents when they lie about what they shipped — verifies claims against git instead of believing the agent.
German small and large versions of GPT2.