Svd Open Source Projects

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

A Python scikit for building and analyzing recommender systems

A Code-First Introduction to NLP course

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

spark ml 算法原理剖析以及具体的源码实现分析

LAPACK development repository

Embedded Rust device crates for STM32 microcontrollers

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

Tensorflow-based Recommendation systems

Generate Rust register maps (`struct`s) from SVD files

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

A Julia library for efficient tensor computations and tensor network calculations. ITensors.jl is supported by the Simons Foundation's Flatiron Institute.

A 100x faster SVD for PyTorch⚡️

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

H2Oai GPU Edition

4 different recommendation engines for the MovieLens dataset.

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

Codes of my MOOC Course <Play with Linear Algebra>. Updated contents and practices are also included. 我在慕课网上的课程《玩转线性代数》示例代码，使用Python语言。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

阅读过的推荐系统论文的归类总结，持续更新中…

使用机器学习算法的电影推荐系统以及票房预测系统

AI Challenger 2018 细粒度用户评论情感分析，排名17th，基于Aspect Level 思路的解决方案

Navigating the GAN Parameter Space for Semantic Image Editing

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).

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

:zap: A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize

:movie_camera: 一个简单的电影推荐系统

recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

A set of GDB/Python-based utilities to make life debugging ARM Cortex M processors a bit easier

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🤩

2018、2019 腾讯广告算法大赛/2018IJCAI 阿里妈妈搜索广告转化预测竞赛/讯飞广告营销算法/OGeek

Fast singular value decomposition, diagonalization, QR decomposition of 3x3 matrices.

Predict scores of NBA games using regularized matrix completion

Model Compression CLI Tool for Keras.

python_for_data_science

Just a bunch of iPython notebooks for future references.

机器学习笔记

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

mmWave SDK examples based on Batman Kit mmWave Sensor module

An Unsupervised Graph-based Toolbox for Fraud Detection

prnet

Peripheral access crate for the ESP32

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.

Using computational thinking to get deep insights on the foundations of linear algebra

Randomized Dimension Reduction Library

A ksvd implementation written in python.

Code for the blog post "Making Sense of Word2vec"

Python code implementing the power method for Singular Value Decomposition

A recommender system built for book lovers.