A reference implementation of a CommonJS module loader.
A reference implementation of a CommonJS module loader for Etherpad.
textlint kernel is core logic by pure JavaScript.
Compute the cosine of a double-precision floating-point number on [-π/4, π/4].
Compute the sine of a double-precision floating-point number on [-π/4, π/4].
Incomplete beta function and its first derivative.
Type definition package for textlint
A factory for kernel functions
Inverse incomplete beta function.
The official TypeScript library for the Kernel API
MongoDB namespace parsing and validation
Compute the tangent of a double-precision floating-point number on [-π/4, π/4].
The gaussian (radial basis function) kernel
Sigmoid (hyperbolic tangent) kernel
AssemblyScript and WebAssembly acceleration kernel for bilig spreadsheet execution.
Manage onchain 7715 permissions
The polynomial kernel
Apply @textlint/kernel lint result to text.
A module containing the dylib needed to run FUSE on Mac (darwin).
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A hybrid buffered / streaming middleware kernel backwards compatible with connect.
Get the name and version of a macOS release from the Darwin version
[](https://opensource.org/licenses/MIT) [](http://www.typescriptlang.org/) [ context.
A ruby library that searches the linux sysfs file system for compute unit devices such as CPUS, GPUs and other ASIC compute devices. Allows programmatic access to collect real time metrics from the kernel or relatated driver toolchain. Is meant to be used as a toolchain for future tools. This library also makes use of opencl library and requires the opencl_ruby_ffi gem.
Flexibly load ruby files. This gem will automatically add File.expand_path(File.dirname(__FILE__) + "/my_mod/my_file") with a simple declaration. Uses non-obtrusive methods - it won't polute Object or Kernel (although you are free to, if you so choose). This also allows you to switch between require, load, and autoload on a project wide basis.
Ignis is the foundation of a CUDA-backed deep-learning ecosystem for Ruby that actually targets native Windows. It provides a GPU n-dimensional array (Ignis::NDArray), CUDA memory/device management, a runtime kernel compiler (NVRTC) with a batteries-included kernel library, fp16/bf16 conversion, and cuBLAS GEMM. Kernels are compiled at runtime and libraries are bound via FFI — there are NO C extensions, so installation needs no compiler or devkit (the usual Windows native-gem killer). Requires an NVIDIA GPU + CUDA toolkit/runtime.
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