Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
- trajectory-optimization
- differential-dynamic-programming
- theano
- dynamics-models
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Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Code for Latent Sparse Attention: Towards Subquadratic Ultra-Long Context Attention
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TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.
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A python package for calculating the PESQ.