- Hamburg
- https://dschaub95.github.io/
Highlights
- Pro
Lists (1)
Sort Name ascending (A-Z)
Stars
turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
CellTRIP, Inferring virtual cell environments using multi-agent reinforcement learning for spatiotemporal trajectory interpolation, imputation, and perturbation
Repository for SIGGRAPH 2025 Poster "Train Once, Generate Anywhere: Discretization Agnostic Neural Cellular Automata using SPH Method"
MultiCell: geometric learning in multicellular development
Allows to retrieve information about an AnnData object via MCP
A bibliometrics tool for publication metadata (pubmed, arxiv, medrxiv, biorxiv, chemrxiv) and citation analyses
Convert AI Skills (Claude Skills format) to MCP server resources - Part of BioContextAI
Cookiecutter template for MCP server development with FastMCP
The BioContextAI Registry for biomedical MCP servers
A Python package for unsupervised analysis of spatial (prote)omics data.
LLM-powered personalized daily lists of scientific papers
BioContextAI Knowledgebase MCP server for biomedical agentic AI
Robin: A multi-agent system for automating scientific discovery
Build Real-Time Knowledge Graphs for AI Agents
Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure
ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
Pipeline to predict off-target binding via probe sequences
Official implementation of E(n)-equivariant Graph Neural Cellular Automata
A cookiecutter template for Snakemake workflows
Arc Virtual Cell Atlas
The simplest, fastest repository for training/finetuning medium-sized GPTs.