Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.
Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.
A command for bringing a paper closer to a required page count through layout changes and, only when needed, controlled wording changes. It checks the rendered document after each adjustment.
A PaperFit command that checks the visual layout of a LaTeX paper and produces a diagnostic report without changing source files. The report identifies issues by page and severity.
A PaperFit command that runs a complete visual layout improvement cycle for a LaTeX project. It can inspect the rendered paper, identify problems, apply repairs, and check the result.
A command for moving a research paper from one document template to another, such as from an AAAI format to an ICLR format. It adjusts the document setup, figures, page count, and incompatible macros while checking the rendered pages.
A command for reviewing and changing the repair priority of a PaperFit LaTeX project. LaTeX is a document system often used for academic papers, and PaperFit checks their visual layout.
A single natural-language command for PaperFit, a tool that analyzes and repairs the layout of LaTeX research papers. It routes a request to the appropriate PaperFit task.
A PaperFit command for repairing a specified table or the main table problems in a LaTeX paper. It focuses on making tables readable and structurally sound rather than merely shrinking them.
Instructions for PaperFit, an agent that improves the visual layout of academic papers written in LaTeX, a document-formatting system commonly used for research papers. It checks the source, compilation logs, PDF, and rendered page images in repeated review cycles.
A source-code repair agent for LaTeX documents, the markup files commonly used to create academic PDFs. It applies planned, limited fixes and records what changed.
A coordinator for PaperFit, a system that checks and repairs the visual layout of LaTeX research papers. It interprets the user's goal, directs the relevant checks and repairs, tracks progress, and handles failures.
A final checker for a repaired LaTeX paper. It decides whether the result is ready by reviewing the PDF pages, visual findings, compilation results, and the completeness of the paper's objects and references.
A text-based checker for LaTeX compiler log files. It finds definite errors and warnings reported while turning a paper's source into a PDF, but it does not judge the page's visual appearance.
A controlled text-editing agent for LaTeX papers that makes small changes to the wording when layout fixes alone cannot solve a spacing or page-count problem.