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

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

H2Oai GPU Edition

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

A 100x faster SVD for PyTorch⚡️

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

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

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

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.

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

Fast truncated singular value decompositions

Randomized Dimension Reduction Library

Python code implementing the power method for Singular Value Decomposition

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

A repository for recording the machine learning code

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

Randomized Matrix Decompositions using R