A microsecond-latency ACID database engine with a native Entity-Component-System data model, built for real-time systems.

One CLI. Every debugger. Give your AI agent eyes into runtime state instead of guessing from source code.

A minimal, cross-compatible CPU/GPU telemetry monitor with accurate data directly from vendor APIs and beautiful ASCII visualization.

Set file type or url association in windows 10 programmatically.

Megakernel to match Apple Silicon Efficiency at 2x the Throughput on a RTX 3090

The best Claude Code that $200 can buy

A high-performance .NET glob library with gitignore compatibility.

turboquant-based compression engine for LLM KV cache

CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…

Bring back best old windows photos and fax viewer in Windows 10

Native C# implementation of llama.cpp. Supports Windows (CPU x64, CUDA 12/13, Vulkan), Linux (CPU x64, Vulkan), iOS (XCFramework), and macOS (arm64, x64).

Enables GitHub Copilot CLI to interact with Visual Studio via the /ide command

HighPrecision Timer, Sleep and Delay functions in .NET 8.0, NET 10.0 and .NET Framework 4.8 for windows

High-level realtime 3D .NET library

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings fo…

Train the smallest LM you can that fits in 16MB. Best model wins!

Reference code for the Slug Algorithm.

An addictive .NET IoC container

Repository for skills to assist AI coding agents with .NET and C#

AI agents running research on single-GPU nanochat training automatically

Skills for using tools that improve LLM-driven .NET / C# development

Tool to inspect .NET assets, like docker inspect.

Techniques and numbers for estimating system's performance from first-principles

A spec for tinygrad (let's see if this works)

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Single-header c99 accelerated float/double parsing. Port of the fast_float library.