#自然语言处理#AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
#计算机科学#A Python scikit for building and analyzing recommender systems
翻译 - 用于构建和分析推荐系统的Python scikit
LAPACK development repository
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Four word embedding models implemented in Python. Supporting arbitrary context features
#自然语言处理#Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
#计算机科学#Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
翻译 - 书籍推荐系统为书籍爱好者。简单地评价⭐一些书籍并立即推荐¶
#计算机科学#Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
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 G...
#算法刷题#Python code implementing the power method for Singular Value Decomposition
Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC
Randomized Matrix Decompositions using R