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Data & AI

Build interactive web apps for machine learning models using Gradio, supporting images, text, audio, and video.

Data & AI

Converts JSON, YAML, XML, and CSV data into token-efficient formats like TSV, TOON, and YAML, reducing token usage by 30-70% for LLM inputs. Supports filtering by paths, limiting nesting depth, and truncating arrays to fit context windows. Useful for minimizing token consumption when feeding structured data to language models.

Data & AI

Generate 5 high-intent signal campaigns from a company URL with full playbook, AI Ark + Apollo filters, and email + LinkedIn scripts.

Data & AI

Search for papers, produce structured notes in notes/papers/<citekey>.md, and update the lit/literature-log.md index.

Data & AI

Check mathematical correctness of TDA results against benchmarks and internal consistency checks. Covers persistence diagrams, null models, Wasserstein distances, and cross-era replication.

Data & AI

Analyzes popular quantitative trading projects on GitHub, evaluates their technical characteristics, and provides actionable recommendations to improve your project.

Data & AI

Self-optimizing agent with SONA adaptive learning, LoRA fine-tuning, and EWC++ memory preservation.

Data & AI

QIIME2 command-line workflow for 16S/ITS amplicon analysis. Alternative to DADA2/phyloseq R workflow with built-in provenance tracking.

Data & AI

Automates confusion matrix generation for ML training, including code and configurations.

Data & AI

Python tooling over the keyless bioRxiv API to search and retrieve life-sciences preprints by keyword, author, date range, and category.

Data & AI

Optical flow and motion detection using Imgaug. Use Imgaug for video analysis and motion tracking.

Data & AI

Build and apply lead scoring models combining firmographic fit, behavioral signals, and intent data for sales prioritization.