14 skills found
raiyanyahya / ensembleMulti-model consensus debate via the filesystem. LLMs propose, peer-review, rebut, vote and synthesize a group-confirmed answer. CLI + MCP.
majiayu000 / issue-size-estimationIssue粒度判定とコード行数見積もりの基準、サイズラベル、分割判定ロジックを定義
jackdark425 / aigroup-econ-mcpEconometrics MCP server for regression, causal inference, time series, panel data, and statistical analysis workflows.
uiuc-kang-lab / hyperparamsGuide for hyperparameter selection — learning rate formulas, LoRA rank, batch size, group size, schedules, and model-specific tuning
vllm-project / semantic-routerA programmable Mixture-of-Models router for heterogeneous LLM inference
FishWoWater / trellis_mcpModel Context Protocol(MCP) for TRELLIS(SOTA text-to-3d/image-to-3d) models
cklose2000 / pinescript-mcp-serverA Model Context Protocol (MCP) server for working with TradingView PineScript
datalayer / jupyter-mcp-server🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
blazickjp / arxiv-mcp-serverA Model Context Protocol server for searching and analyzing arXiv papers
PatrickJS / automl-hyperparameter-optimizationAutoML and hyperparameter optimization rules for Python ML projects using Ray Tune, Optuna, PyCaret, and time-series AutoML libraries
microprediction / preciseOnline (incremental) covariance, correlation, and precision estimation in Python — the streaming complement to sklearn.covariance
shaharia-lab / mcp-kitMCP (Model Context Protocol) Kit for Go - A Complete MCP solutions for ready to use
aaguiarz / openfga-modeling-mcpMCP to assist on OpenFGA Modeling
mormorbump / go-testfsmによる状態遷移のサンプル
