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A little curiosity. A world of open source.
THE FIRST COLLECTIONFree, open-source AI engineering curriculum from first principles: 523 lessons in 20 phases (~342 hours), with math-to-production coverage in Python, TypeScript, Rust, and Julia. Every lesson ships a reusable prompt, skill, agent, or MCP server; includes an installable AI tutor and Claude certification prep.
Variant-first CRISPR design framework that unifies SpCas9 nuclease, base editors and prime editors behind one typed interface, returning ranked candidate edits with calibrated uncertainty and population-aware off-target reports.
Shared native Rust compute core for NEAT-AI: the neat-core crate holds the scoring, loss and batched SIMD kernels used to run evolved neural networks, with optional rayon parallelism and a dual wasm32 and wasm64 WebAssembly bundle release pipeline.
Reinfors is a high-throughput reinforcement-learning library that runs game dynamics, search, and episode orchestration in parallel Rust, while keeping Python-based networks and training entirely under the caller's control.
