图像处理、推荐系统、矩阵补全、Netflix问题及算法实现中的Python机器学习应用,包括共聚类、Funk SVD、SVD++、非负矩阵分解、Koren邻域模型、Koren集成模型、Dawid-Skene、Platt-Burges、期望最大化、因子分析、ISTA、FISTA、ADMM、高斯混合模型、OPTICS、DBSCAN、随机森林、决策树、支持向量机、独立分量分析、潜在语义索引、主成分分析、奇异值分解、K个最近邻、K个均值、朴素贝叶斯混合模型、高斯判别分析、牛顿法、坐标下降、梯度下降、弹性净回归、脊回归、套索回归、最小二乘、逻辑回归、线性回归

independent-component-analysis 开源项目推荐(101 个)
independent-component-analysis 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 101 个仓库Preconditioned ICA for Real Data
A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION
IVA: Independent Vector Analysis implementation
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
Heart Rate Detection using Web Camera
A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation
Create optimized ICA training (OPTICAT) data for EEG data recorded during free viewing (Dimigen, 2020, NeuroImage)
Several maximum likelihood ICA algorithms, including Picard
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
Discovering Universal Geometry in Embeddings with ICA (Published in EMNLP 2023)
This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
Independent Vector Analysis (IVA-G and IVA-L-SOS) implemented in Python
Code to reproduce the case studies of the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jonas Peters and Peter Bühlmann.
A blind source separation package using non-negative matrix factorization and non-negative ICA
Blind source separation of real signals
Workflow to download, process, and explore microbial RNA-seq data from NCBI SRA
Independent component analysis for dimensionality reduction of hyperspectral images
Preprocessing toolbox for rat rs-fMRI data
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/independent-component-analysis。
- 该话题在 GitHub 上共有 101 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1000 Star,覆盖 5 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。