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apachecn /ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

python nlp svm scikit-learn sklearn regression logistic dnn lstm pca rnn deeplearning kmeans adaboost apriori fp-growth svd naivebayes mahchine-leaning recommendedsystem

UpdatedNov 12, 2024
Python

NicolasHug /Surprise

A Python scikit for building and analyzing recommender systems

machine-learning matrix systems recommender recommendation factorization svd

UpdatedJun 16, 2024
Python

Reference-LAPACK /lapack

LAPACK development repository

linear-algebra matrix-factorization blas singular-values eigenvectors linear-equations lapack svd eigenvalues lapacke

UpdatedMar 7, 2025
Fortran

prince

MaxHalford /prince

👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

python scikit-learn pandas pca mca mfa svd procrustes factor-analysis principal-component-analysis ca correspondence-analysis multiple-factor-analysis multiple-correspondence-analysis famd

UpdatedMar 9, 2025
Python

zhezhaoa /ngram2vec

Four word embedding models implemented in Python. Supporting arbitrary context features

word word2vec chinese glove ngram svd embedding analogy ppmi word-embedding n-gram ngram2vec

UpdatedAug 22, 2019
Python

h2oai /h2o4gpu

H2Oai GPU Edition

python c-plus-plus machine-learning r cpu gpu cuda lasso pca rstats glm svd elastic-net

UpdatedOct 24, 2024
C++

KinglittleQ /torch-batch-svd

A 100x faster SVD for PyTorch⚡️

pytorch svd cusolver

UpdatedOct 10, 2022
C++

james-bowman /nlp

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

nlp go golang machine-learning natural-language-processing lsh simhash locality-sensitive-hashing tf-idf lsa lda random-projections svd lsi latent-dirichlet-allocation latent-semantic-analysis singular-value-decomposition feature-hash latent-semantic-indexing random-indexing

UpdatedMay 11, 2021
Go

sdl60660 /letterboxd_recommendations

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

flask collaborative-filtering web-scraping svd letterboxd redis-queue movie-recommendations letterboxd-recommendations

UpdatedMar 17, 2025
Python

xx025 /stable-video-diffusion-webui

stable-video-diffusion-webui, img to videos| 图片生成视频

svd stable-video-diffusion

UpdatedDec 16, 2023
Python

dselivanov /rsparse

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

r collaborative-filtering matrix-factorization recommender-system factorization-machines svd matrix-completion sparse-matrices

UpdatedFeb 17, 2025
R

Kitabe

Praful932 /Kitabe

Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩

javascript css python heroku html machine-learning django deep-learning ajax goodreads web-application embeddings recommendation-system recommendation-engine svd surprise funksvd goodbooks-10k book-recommender book-recomendation

UpdatedDec 1, 2022
HTML

dongkwonjin /Eigenlanes

Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022

deep-learning pytorch pca svd lane-detection lane roadlane descroptor

UpdatedJul 21, 2022
Python

bwlewis /irlba

Fast truncated singular value decompositions

pca svd principal-component-analysis singular-value-decomposition sparse-principal-components

UpdatedFeb 22, 2024
R

gasevi /pyreclab

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.

rating svd knn implicit-feedback rating-prediction recommendation-algorithm alternating-least-squares

UpdatedSep 4, 2020
C++

erichson /ristretto

Randomized Dimension Reduction Library

python pca svd principal-component-analysis dimension-reduction lu-decomposition singular-value-decomposition randomized-algorithm nonnegative-matrix-factorization matrix-approximation dynamic-mode-decomposition

UpdatedApr 17, 2021
Jupyter Notebook

NoisyWinds /Recommend

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

collaborative-filtering distance-measures svd analyzing-recommender-systems

UpdatedJun 9, 2018
Python

j2kun /svd

Python code implementing the power method for Singular Value Decomposition

python algorithm programming optimization linear-algebra svd

UpdatedJul 4, 2023
Python

Saeid-jhn /Digital-Image-Watermarking

Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC

matlab dwt svd attacks watermark-image psnr singular-value-decomposition discrete-wavelet-transformation structural-similarity hessenberg-decomposition normalized-correlation

UpdatedMar 11, 2024
MATLAB

erichson /rSVD

Randomized Matrix Decompositions using R

cran pca svd principal-component-analysis dimension-reduction singular-value-decomposition randomized-algorithm matrix-approximation probabilistic-algorithms

UpdatedApr 13, 2021
R

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