svd

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

H2Oai GPU Edition

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

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

A 100x faster SVD for PyTorch⚡️

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

Fast truncated singular value decompositions

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.

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

Python code implementing the power method for Singular Value Decomposition

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

Randomized Matrix Decompositions using R

a repository for my curriculum project

A recommendation system using tensorflow

R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems

MXNet for CTR

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

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

Singular Value Decomposition for generic number types

NTUEE Machine Learning, 2017 Spring

This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).

Imputation method for scRNA-seq based on low-rank approximation

Converter of register descriptions from the TI DSLite format to CMSIS SVD format

使用SVD、K-Means、降低权值精度的方法压缩Cifar-10神经网络的全连接层