AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
-
Updated
Nov 12, 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
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
stable-video-diffusion-webui, img to videos| 图片生成视频
Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
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 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.
a repository for my curriculum project
A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
An implementation of Direct Linear Transform for 3D to 2D mapping.
Open-source codes and annotated datasets in CVEO recent work "Object-based Classification Framework of Remote Sensing Images with Graph Convolutional Networks" on IEEE Geoscience and Remote Sensing Letters.
This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).
Add a description, image, and links to the svd topic page so that developers can more easily learn about it.
To associate your repository with the svd topic, visit your repo's landing page and select "manage topics."