LLM驱动的 A/H/美股智能分析器：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.

📚Java编程书籍收集分享。Java programming books collection to share.🚀

A cross-platform Markdown AI note-taking software.

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

An LSTM auto-encoder for Multivariate Cyclic Time Series (MCTS) anomaly detection. The code can be adapted to any MCTS but was applied on Wafer dataset.

基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Importa…

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

A Collection of Variational Autoencoders (VAE) in PyTorch.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

A Python Package for Deep Imbalanced Learning

Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

a simple vae and cvae from keras

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Conditional variational autoencoder implementation in Torch

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

VAE-for-Imbalanced-fault-detection

Chiller Fault Diagnosis based on VAE Enabled Generative Adversarial Networks

Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings

An implementation of a Convolutional Auto-encoder trained on binary image sets, with a sequence to sequence predictor module. The sequence length needs to be edited manually.