#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
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
模型压缩的小白入门教程，PDF下载地址 https://github.com/datawhalechina/awesome-compression/releases
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🤩
#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...
[ICML2025] Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
#计算机科学#Product Recommendation System is a machine learning-based project that provides personalized product recommendations to users based on their interaction history, similar users, and also the popularity...
Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC