mlcraft
A research-first AI/ML research-engineer workflow for Claude Code.

A research-first AI/ML research-engineer workflow for Claude Code.
Use when an existing model's results are disappointing and the user wants higher accuracy - 'accuracy is still too low',…
Use BEFORE training any model, to build correct train/val/test splits and hunt data leakage - the #1 cause of fake-high accuracy.…
Use as the FIRST step of any ML task, before choosing a model, to inspect and understand the actual dataset. Works for a LOCAL…
Use when turning a trained model into something usable (an app, an inference function, a demo) or adding explainability. Selects…
Use for 3D and point cloud tasks: point cloud classification, 3D semantic or instance segmentation, 3D object detection from…
Use for anomaly, outlier, and novelty detection across data types: industrial or visual defect detection, time-series or sensor…
Use for audio and speech tasks: speech recognition (speech to text, ASR, transcription), audio or sound classification and…
Use for computer-vision tasks on natural/general images: image classification, object detection (vehicles, faces, people,…
Use for generative modeling of images and audio: text-to-image, image editing or image-to-image, unconditional image generation,…
Use for graph machine learning: node classification, link prediction, graph classification or regression, recommendation on…
Use for medical-image AI: tumor/cancer detection & classification, brain tumor MRI, mammography (benign vs malignant), chest…
Use for vision-language and multimodal tasks: image-text retrieval, zero-shot image classification, visual question answering…
Read-only research agent that finds, reads, and critically appraises academic papers and benchmarks for an ML/AI task. Returns a…
Start a professional AI/ML research-engineer workflow for a task (any domain - CV, medical imaging, NLP/LLM, tabular,…
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