Displaying 1 to 8 from 8 results

glsl-fast-gaussian-blur - optimized single-pass blur shaders for GLSL


Optimized separable gaussian blurs for GLSL. This is adapted from Efficient Gaussian Blur with Linear Sampling.The function blurs in a single direction. For correct results, the texture should be using gl.LINEAR filtering.

ctrace - Well-formatted and improved trace system calls and signals (when the debugger does not help)


Well-formatted and improved trace system calls and signals (when the debugger does not help).Awesome tools strace and dtruss have only one drawback: too much information which is hard to understand without additional sources of information and various configuration options. ctrace resolves it.

ndarray-convolve - Convolutions and cross correlations for ndarrays


Convolutions and cross correlations on ndarrays.Cross correlates two arrays with zero boundary conditions. Same convention.




microkernel - Microkernel for Server Applications


Microkernel is JavaScript library, for use in Node.js environments, to structure and manage server applications with the help of modules, a stateful life-cycle, hooks, events, services and resources. It follows the Component-Orientation paradigm. The microkernel design follows the primary concepts State Transitions, Module Groups & Tags, Module Dependencies and Module Definitions.

kernel-smooth - nonparametric kernel smoothing


Given input data xs, a kernel function and a bandwidth (if not supplied, a default value of 0.5 is used), this function returns a basic kernel density estimator: a function of one variable, x, which when invoked returns the kernel density estimate for x. The returned function can also be called with a vector supplied as an argument for x. In this case, the density is evaluated is for each element of the vector and the vector of density estimates is returned. Given input predictors xs and observed responses ys, a kernel function and a bandwidth (if not supplied, a default value of 0.5 is used), this function returns the Nadaraya & Watson kernel regression estimator: a function of one variable, x, which when invoked returns the estimate for y. The returned function can also be called with a vector supplied as an argument for x. In this case, predictions are generated for each element of the vector and the vector of predictions is returned.

core - auth_os beta platform build


This package contains a set of contracts, libraries, and interfaces used in the development of auth-os applications. auth-os utilizes a unique application architecture to facilitate the building of contracts that are truly modular, as well as interoperable. Deployment of an auth-os application begins with the storage contract and script registry application. Deploy the following files: AbstractStorage.sol, RegistryIdx.sol, Provider.sol, RegistryExec.sol. Use RegistryExec.configure to configure the registry executor to use the deployed storage contract, as well as provide an interface for a provider address to register applications within the registry app. The provider and exec admin addresses will be able to register apps.