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However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...
scikit-multiflow allows to easily design and run experiments and to extend existing stream learning algorithms. [3] It features a collection of classification, regression, concept drift detection and anomaly detection algorithms. It also includes a set of data stream generators and evaluators. scikit-multiflow is designed to interoperate with ...
The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are made available as various sorted types and subtypes.
Conflict-free replicated data type. In distributed computing, a conflict-free replicated data type (CRDT) is a data structure that is replicated across multiple computers in a network, with the following features: [1][2][3][4][5][6][7][8] The application can update any replica independently, concurrently and without coordinating with other ...
A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java. However, there are some ...
This algorithm, also known as the "recursive backtracker" algorithm, is a randomized version of the depth-first search algorithm. Frequently implemented with a stack, this approach is one of the simplest ways to generate a maze using a computer. Consider the space for a maze being a large grid of cells (like a large chess board), each cell ...
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. [ 1 ][ 2 ] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [ 3 ] In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's ...
A free/open-source implementation in up to 1111 dimensions, based on the Joe and Kuo initialisation numbers, is available in C, [10] and up to 21201 dimensions in Python [11] [12] and Julia. [13] A different free/open-source implementation in up to 1111 dimensions is available for C++, Fortran 90, Matlab, and Python. [14]