@orchestra-research

brainstorming-research-ideas provides ten ideation frameworks to help researchers move from exploratory curiosity to concrete proposals. targets different cognitive modes and works best when direction is uncertain rather than execution-focused.

tensorrt-llm optimizes llm inference on nvidia gpus with high throughput and low latency. covers quantized model deployment, multi-gpu scaling, and real-time serving use cases. comparison to vllm included.

mlflow provides experiment tracking, model registry, and deployment capabilities for ml lifecycle management across frameworks, but lacks procedural depth and actionable workflows.

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference…

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types…

Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging…

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying…