An ActiveRecord plugin for atomic archiving and unarchiving of object trees. Inspired by ActsAsParanoid and PermanentRecord
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Create an asynchronous expectation in Swift Testing
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
Godot engine module for rendering Adobe Flash / SWF assets natively in-engine.
- flash
- godot
- godot-engine
- godot-module
Elixir error messages to make the errors within the system easier to expect and predict, as well as read
HTTP request stubbing and expectation Elixir library
Export flash project to Godot
A D implementation of the expect framework.
Youtube API in MicroPython
BDD-style assertion library for ActionScript 3
Simple tap formatter: does not clutter output with successes and shows a diff of actual vs. expected.
Validates tabular CSV data using predefined validations, inspired from its Python homologue "Great Expectations".
- common-lisp
- csv
- data-validation
- great-expectations
k6 library that simplifies writing tests in a functional way by providing a simple and readable syntax for expectations
Public AMA - not that I'm expecting a ton of questions but why not!