Content for workshops on computer vision @ HPI's AI Service Center

Harnessing Large Language Models for Curated Code Reviews

Implementation of TSDS: Data Selection for Task-Specific Model Finetuning. An optimal-transport framework for selecting domain-specific and task-specific training data to improve LLM finetuning and instruction tuning.

HyperView curates datasets and provides model introspection in hyperbolic and Euclidean geometries.

[ACL 2024 (Findings)] ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation

Image description/tagging tool

NAACL 2025 | How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?

An image deduplication GUI, made for image generation models dataset deduplication using CLIP.

Manage and process paired RGB and depth images, with options to view, export, and exclude images using various colormaps.

Comprehensive framework for curating and validating biomedical datasets for clinical AI applications

AIWG training-complete framework — corpus-to-dataset pipeline with SKILL.md agentic surface and optional Python runtime backend. Marketplace plugin for AIWG.

ML/AI Data Curation Functional Setup

Workflow and validation toolkit for human review of wildlife AI outputs

A local-first self-improvement runtime for language systems. Record. Learn. Rewrite.

End-to-end object detection project for telecom infrastructure using real-world field data with challenging conditions such as rust, occlusion, and adverse weather

Efficient, reproducible dataset curation for LLM fine-tuning: scripts and best practices for preparing code datasets without repository bloat.

🪘 Tabla Drum Image Generator – AI-powered tabla drum image generation using Stable Diffusion & GANs. Features custom dataset curation, ML training pipeline, and scalable API deployment.

GPT-2 fine-tuned model for myth generation using curated mythological datasets and structured NLP preprocessing.

Audit JSONL datasets for duplicates, semantic leakage, label conflicts, and other train/eval quality issues.