catalysis-hub-api
Query computational catalysis reaction data via Catalysis Hub GraphQL
Query computational catalysis reaction data via Catalysis Hub GraphQL
Legal case law database with PACER data and judge profiles
Deposit and discover research datasets via Harvard Dataverse API
Automate survey deployment, data collection, and pipeline management
Apply EconML for causal inference combining machine learning and econometrics
Replication code and guide for Mostly Harmless Econometrics methods
Expert panel data regression analysis with fixed effects and GMM
Bayesian inference methods including prior selection, MCMC, and model comparison
Benchmark AI models across 60+ academic evaluation suites and metrics
Build transformer fine-tuning plans for classification and generation
Build and debug deep learning models with Keras and TensorFlow backend
Evaluate and benchmark large language models for research applications
Build and deploy reproducible production ML pipelines for research
Reinforcement learning fundamentals, algorithms, and research
Guide to Transformer architectures for NLP and computer vision
Vectorized multi-agent reinforcement learning simulator
Formal methods, theorem proving, and model checking for CS research
Species distribution modeling with MaxEnt, SDM methods, and GBIF data
LLM agent for formal theorem proving in Lean 4
Reproducible Python environments, notebooks, and literate programming
Internal — for Boundless team members only. Query Boundless broker telemetry tables on Redshift for prod/staging operational data. Use when the user asks about broker health, request evaluations, request completions, proving times, skip rates, telemetry data, or wants to run SQL against the telemetry database on live networks. Do NOT use for debugging local code changes, reviewing PRs, or investigating issues in the codebase itself.
Analyzes Claude Code conversation JSONL files to extract structured data and generate problem-solution narratives for semantic search indexing