AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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Aug 16, 2021 - Python
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AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
H2Oai GPU Edition
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.
Book Recommendation System built for Book Lovers
Randomized Dimension Reduction Library
Fast truncated singular value decompositions
tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.
A repository for recording the machine learning code
Python 3.6 下的推荐算法解析,尽量使用简单的语言剖析原理,相似度度量、协同过滤、矩阵分解等
Python code implementing the power method for Singular Value Decomposition
Randomized Matrix Decompositions using R
a repository for my curriculum project
A recommendation system using tensorflow
R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
NTUEE Machine Learning, 2017 Spring
This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).
Imputation method for scRNA-seq based on low-rank approximation
Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC
Converter of register descriptions from the TI DSLite format to CMSIS SVD format
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For now only strings are accepted as the
measuresparameter inGridSearchCV,RandomizedSearchCV, andcross_validate. It's thus impossible to use those with measures that take specific parameters as input (e.g. #156 ), or to use custom measures.We should then accept callables in addition to strings.
Each callable should only take the
predictionsparameter. In order to handle measur