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.

Image description/tagging tool

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

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.

Dynamic cluster-based data sampling for efficient and long-tail-aware vision-language model pre-training.

Biomedical Image Processing BAP (Scientific Research Project) - Piri Reis University

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.

A dataset curator for lora training for person loras

Pipeline for querying and turning NASA's ADS publications metadata into curated, analysis-ready datasets, topic maps, and citation networks.

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

Two-stage video captioning pipeline: a Vision-Language model produces a rich description, then a text-only LM rewrites it through a task-specific prompt (e.g. for LoRA training datasets, retrieval, summarization).

Workflow and validation toolkit for human review of wildlife AI outputs

ML/AI Data Curation Functional Setup

🪘 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.