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OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...
Similarity learning is closely related to distance metric learning. Metric learning is the task of learning a distance function over objects. A metric or distance function has to obey four axioms: non-negativity, identity of indiscernibles, symmetry and subadditivity (or the triangle inequality). In practice, metric learning algorithms ignore ...
Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. [1] Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level. [2] Human Brain Project, ten-year scientific research project, based on exascale ...
The first set of Comet implementations dates back to 2000, [16] [unreliable source?] with the Pushlets, Lightstreamer, and KnowNow projects. Pushlets, a framework created by Just van den Broecke, was one of the first [17] open source implementations. Pushlets were based on server-side Java servlets, and a client-side JavaScript library.
It also allowed them to transform existing machine learning processes into reproducible DVC pipelines. DVC 0.6 solved most of the common problems that machine learning engineers and data scientists were facing: the reproducibility of machine learning experiments, as well as data versioning and low levels of collaboration between teams.
BASIC extensions See also References External links Dialects 0–9 1771-DB BASIC Allen-Bradley PLC industrial controller BASIC module; Intel BASIC-52 extended with PLC-specific calls. 64K BASIC Cross-platform, interactive, open-source interpreter for microcomputer BASIC. A ABasiC (Amiga) Relatively limited. Initially provided with Amiga computers by MetaComCo. ABC BASIC designed for the ABC 80 ...
Trump Media & Technology Group stock ()closed over 15% higher Friday and was briefly halted for volatility after Donald Trump said he would not sell his shares in the company, the home of Trump's ...
A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.