svd

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

UpdatedNov 17, 2025
Python

datawhalechina /awesome-compression

Star344

模型压缩的小白入门教程，PDF下载地址https://github.com/datawhalechina/awesome-compression/releases

compression quantization svd knowledge-distillation model-pruning prune model-compression neural-architecture-search kd model-quantization low-rank-matrix-decomposition

UpdatedNov 25, 2025

xx025 /stable-video-diffusion-webui

Star243

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

svd stable-video-diffusion

UpdatedDec 16, 2023
Python

dselivanov /rsparse

Star180

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

Praful932 /Kitabe

Star180

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

Star134

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

Star133

Fast truncated singular value decompositions

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

UpdatedFeb 22, 2024
R

Facico /GOAT-PEFT

Star133

[ICML2025] Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment

moe lora svd goat icml fine-tuning peft loramoe peftmoe make-lora-great-again

UpdatedNov 9, 2025
Python

Vaibhav67979 /Ecommerce-product-recommendation-system

Star125

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 of products.

python machine-learning product artificial-intelligence e-commerce svd product-recommendation e-commerce-product-recommendation-system

UpdatedDec 17, 2023
Jupyter Notebook

gasevi /pyreclab

Star124

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