blog.csdn

【自动编码器3 异常检测 全python代码】Autoencoder Anomaly Detection

本内容遵循CC 4.0 BY-SA版权协议 自动编码器是一种特殊类型的神经网络，经过训练后可将其输入复制到输出。例如，给定一张手写数字图像，自动编码器首先将该图像编码为较低维度的潜在表示 ...
Visual Studio Magazine

Data Anomaly Detection Using LightGBM

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...
Visual Studio Magazine

Autoencoder Anomaly Detection Using PyTorch

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
bilibili

102.【基于python】深度机器学习算法AutoEncoder-无监督深度特征提取方法筛选基因，深度自编码器在基因表达数据特征选择中的应用

【难】使用R语言的keras和tensorflow包时，必须配置好Python环境，因为R的深度学习接口（keras、tensorflow）实际上是通过reticulate包调用Python后端来实现的，环境配置复杂，请自助借助GPT辅助运行。
GitHub

Autoencoder with Manifold Learning for Clustering in Python

Whenever we have unlabeled data, we usually think about doing clustering. Clustering helps find the similarities and relationships within the data. Clustering algorithms like Kmeans, DBScan, ...
GitHub

Variational Autoencoder in tensorflow and pytorch

Reference implementation for a variational autoencoder in TensorFlow and PyTorch. I recommend the PyTorch version. It includes an example of a more expressive variational family, the inverse ...