tensorflow/similarity
TensorFlow Similarity is a python package focused on making similarity learning quick and easy. (⭐ 1024)
TensorFlow Similarity is a python package focused on making similarity learning quick and easy. (⭐ 1024)
similarity: Text similarity calculation Toolkit for Java. 文本相似度计算工具包,java编写,可用于文本相似度计算、情感分析等任务,开箱即用。 (⭐ 1573)
We present a weight similarity measure method that can quantify the weight similarity of non-convex neural networks. To understand the weight similarity of different trained models, we propose to extract the feature representation from the weights of...
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words. When two pairs have a high degree of relational similarity, they are a...
Patient similarity computation (PSC) is a fundamental problem in healthcare informatics. The aim of the patient similarity computation is to measure the similarity among patients according to their historical clinical records, which helps to improve...
analysis, cosine similarity is a measure of similarity between two non-zero vectors defined in an inner product space. Cosine similarity is the cosine of the
The Horton and Tokunaga branching laws provide a convenient framework for studying self-similarity in random trees. The Horton self-similarity is a weaker property that addresses the principal branching in a tree; it is a counterpart of the power-law...
Similar item recommendation is a critical task in the e-Commerce industry, which helps customers explore similar and relevant alternatives based on their interested products. Despite the traditional machine learning models, Graph Neural Networks (GNN...
Similarity joins are a fundamental database operation. Given data sets S and R, the goal of a similarity join is to find all points x in S and y in R with distance at most r. Recent research has investigated how locality-sensitive hashing (LSH) can b...
In his 1972 paper, John Lamperti characterized all positive self-similar Markov processes as time-changes of exponentials of Levy processes. In the past decade the problem of classifying all non-negative self-similar Markov processes that do not nece...
Lacking standardized extrinsic evaluation methods for vector representations of words, the NLP community has relied heavily on word similarity tasks as a proxy for intrinsic evaluation of word vectors. Word similarity evaluation, which correlates the...
Record my python script about Iearning to identify similar images (⭐ 396)
We consider the problems of statically refuting equivalence and similarity of output distributions defined by a pair of probabilistic programs. Equivalence and similarity are two fundamental relational properties of probabilistic programs that are es...
Jul 31, 2017 · Similar to spaghetti, linguini noodles are long and thin and adaptable to a variety of dishes. Now, try interchanging 'similarly' and 'similar to' in the examples.
For me, rephrasing to "A is constructed in a way similar to B ('s way of construction)" makes it clearer that the second statement is correct.
Jul 6, 2017 · The difference is a bit subtle. "The microbial activity level was similar in A and B" means the same behavior was observed in two distinct cases, perhaps without A and B being aware of each …
Jul 31, 2017 · Similar to spaghetti, linguini noodles are long and thin and adaptable to a variety of dishes. Now, try interchanging 'similarly' and 'similar to' in the examples.
Jul 6, 2017 · The difference is a bit subtle. "The microbial activity level was similar in A and B" means the same behavior was observed in two distinct cases, perhaps without A and B being aware of each …
For me, rephrasing to "A is constructed in a way similar to B ('s way of construction)" makes it clearer that the second statement is correct.
Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包,支持亿级数据文搜文、文搜图、图搜图,python3开发,开箱即用。 (⭐ 899)