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Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.
Python CLI to apply word2vec to all sorts of text documents.
Abstract Algebra: An implementation of Finite Algebras: Groups, Rings, Fields, Vector Spaces, Modules, Monoids, Semigroups, and Magmas. See the ReadTheDocs link.
Basic Linear Algebra implementation (Matrices, Vector spaces)
📐 Defines the properties of space, displacements, euclidean vector, vector algebra and Vector(2|3|4) of known cardinality
⚙️ An open source implementation of mathematical vectors in JavaScript
Image classification and unsupervised learning using latent space vectors produced by convolutional neural nets together with the original vectors space
Unofficial fork of Norio Katayama's SR Tree spatial indexing implementation for high-dimensional data
Python codes to implement fundamental algorithms and techniques associated with Natural Language Processing.
A Hermite function series module.
Coursera Natural Language Processing Specialization.