AiLearning：数据分析+机器学习实战+线性代数+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
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
H2Oai GPU Edition
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| 图片生成视频
Content-based movie recommender: a training pipeline (TF-IDF, SVD, top-K cosine neighbours) and a Django app with search, autocomplete and a JSON API. Small models, about 1 ms lookups, ships with a demo model.
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🤩
[ICML2025] Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
[ICLR2026] Any-to-Bokeh is a novel one-step video bokeh framework that converts arbitrary input videos into temporally coherent, depth-aware bokeh effects.
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.
Fast truncated singular value decompositions
Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
😎 A curated list of tensor decomposition resources for model compression.
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