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Errors, performance, logs, uptime, hosts, anomalies, dashboards, and check-ins. One interface.
AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
...Sometimes an unknown parameter or variable in a model is not a scalar value or a fixed-length vector, but a function. A Gaussian process (GP) can be used as a prior probability distribution whose support is over the space of continuous functions. PyMC3 provides rich support for defining and using GPs. Variational inference saves computational cost by turning a problem of integration into one of optimization. PyMC3's variational API supports a number of cutting edge algorithms, as well as minibatch for scaling to large datasets.
simulated annealing optimization and importance-sampling
Adaptive Simulated Annealing (ASA) is a C-language code that finds the best global fit of a nonlinear cost-function over a D-dimensional space. ASA has over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems.
This repository contains a list of AutoML related models and libraries. Google Brain researchers have introduced a new way of programming automated machine learning (AutoML) based on symbolic programming. The researchers also proposed PyGlove, a general symbolic programming library for Python, to implement the symbolic formulation of AutoML. AutoML, designed to fill the machine learning industry’s talent gap, is gaining traction among various organizations.
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A free cross-platform editor for the DRAKON visual language.
DRAKON is a diagram language developed within the Russian space program. Its primary objective is presenting complex software systems in a way which is easy to understand by humans.
DRAKON's motto: took a glance - understood at once.
DRAKON Editor helps software architects, quality specialists and developers.
Architects and quality assurers can express a high-level view of how their product works.
Go! is a framework that enables development of user space device drivers in Linux. Go! allows Linux device drivers to be written using UML and C++, and deployed in user space with minimal effects on performance.
SCOPE: Space-Based Coordination Process Engineering
SCOPE is a high-level coordination language which conforms to the BPMN 2.0 specification and is intended for architecture-centric model-driven software development. SCOPE differentiates between the space-based choreography of multiple concurrent process components and the orchestration of fine-grained activities within a single process component. The SCOPE workbench is based on the Xtext language framework.
A Java library and supporting modelling/execution tools that combine Robin Milner's formal Bigraph model with the indirect communication abstraction of Gelernter's tuple-space, i.e. a coordination system based on bigraphs.
...Can introduce you to some basics, as the transformations and the 4-vectors. Examples, illustrations and some exercises will be included. With some time, effort, and space on the desk, you can master it.