code for "Isolating Sources of Disentanglement in Variational Autoencoders".

NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other enterprise documents into metadata and text to embed into retri…

Density Peak is not applicable for large scale data, due to the two quantities, i.e, density ρ and δ, are both obtained by brute force algorithm with complexity O(n2). Then, a simple but fast Densi…

A clustering algorithm that consider the size of each point

PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Detection

offical implementation of TKDE paper "Deep isolation forest for anomaly detection"

Code for reproducing f-AnoGAN training and anomaly scoring

a simple vae and cvae from keras

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Build your neural network easy and fast, 莫烦Python中文教学

A wizard's guide to Adversarial Autoencoders

[CVPR2020] Adversarial Latent Autoencoders

自编码相关总结

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

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

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

A Collection of Variational Autoencoders (VAE) in PyTorch.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Adaptive Resonance Theory Neural Network

Extended Isolation Forest for Anomaly Detection

(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

A local density-based approach for outlier detection

基于el-cascader实现的最后一级多选

💬 Ready-to-use & flexible RAG Chatbot, supporting mainstream large language models (LLMs) such as DeepSeek-R1, Llama 3.3, Qwen2, OpenAI and more.

知识图谱 neo4j 答案查找 + 机器学习 分类模型 问题分析 = 电影知识库问答机器人

基于知识库的中文问答系统（biLSTM）

基于Neo4j图数据库构建知识图谱，提供知识图谱的增删改查；基于知识图谱和策略构建智能问答引擎