AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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Updated
Mar 4, 2024 - Python
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
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
H2Oai GPU Edition
a repository for my curriculum project
A repository for recording the machine learning code
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
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
store my personal project
stable-video-diffusion-webui, img to videos| 图片生成视频
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.
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.
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