Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N 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.
Randomized Dimension Reduction Library
A repository for recording the machine learning code
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
Singular Value Decomposition for generic number types
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
Four word embedding models implemented in Python. Supporting arbitrary context features
👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
A Python scikit for building and analyzing recommender systems
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
Natural Language Processing for Lithuanian language
Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
Streaming, Memory-Limited, r-truncated SVD Revisited!
R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems
Numerical analysis course in Python
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.
Imputation method for scRNA-seq based on low-rank approximation