AiLearning: Số liệu phân tích + máy móc học tập thực chiến + tuyến tính đại số +PyTorch+NLTK+TF2
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Updated
Mar 4, 2024 - Python
AiLearning: Số liệu phân tích + máy móc học tập thực chiến + tuyến tính đại số +PyTorch+NLTK+TF2
A Python scikit for building and analyzing recommender systems
LAPACK development repository
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
H2Oai GPU Edition
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
stable-video-diffusion-webui, img to videos| hình ảnh sinh thành video
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
Fast truncated singular value decompositions
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.
Randomized Dimension Reduction Library
Python 3.6 hạ đề cử thuật toán phân tích, tận lực sử dụng đơn giản ngôn ngữ phân tích nguyên lý, tương tự độ độ lượng, hợp tác lọc, Ma trận phân giải chờ
Python code implementing the power method for Singular Value Decomposition
Randomized Matrix Decompositions using R
Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC
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