gasp0009

gasp0009's Stars

• mdabashar/TAnoGAN

  Language:Jupyter Notebook6015

• LiDan456/MAD-GANs

  Applied generative adversarial networks (GANs) to do anomaly detection for time series data

  Language:Python514158

• arunppsg/TadGAN

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

  Language:Python15434

• samet-akcay/ganomaly

  GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

  Language:Python848212

• ML4ITS/mtad-gat-pytorch

  PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

  Language:Python32173

• inspire-group/SSD

  SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]

  Language:Python13228

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.2k1.7k

• houssamzenati/Efficient-GAN-Anomaly-Detection

  Language:Python432137

• IvanDrokin/torch-conv-kan

  This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.

  Language:Python36227

• lars76/kmeans-anchor-boxes

  k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

  Language:Python532197

• TrustAGI-Lab/CoLA

  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

  Language:Python7920

• libnyanpasu/clash-nyanpasu

  Clash Nyanpasu～(∠・ω< )⌒☆​

  Language:Rust8.5k537

• XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection

  Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

  31748

• GuetYe/anomaly_detection

  test video of the proposed method in "A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network"

  Language:Python62

• KatieBuc/gnnad

  Graph Neural Network-Based Anomaly Detection

  Language:Python243

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.8k5.6k

• tensorflow/gnn

  TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

  Language:Python1.3k170

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.9k3k

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.7k994