Pinned Repositories
AGCR-AE
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, ... 🧠
Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
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.
awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
awesome-graph-explainability-papers
Papers about explainability of GNNs
ISTGAD
KoopmanGNN
timeseries-anomaly-detection-dashboard
Dashboard to simulate the flow of stream data in real-time, as well as predict future satellite telemetry values and detect if there are anomalies.
DiYi1999's Repositories
DiYi1999/ISTGAD
DiYi1999/awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
DiYi1999/timeseries-anomaly-detection-dashboard
Dashboard to simulate the flow of stream data in real-time, as well as predict future satellite telemetry values and detect if there are anomalies.
DiYi1999/AGCR-AE
DiYi1999/Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
DiYi1999/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
DiYi1999/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.
DiYi1999/awesome-graph-explainability-papers
Papers about explainability of GNNs
DiYi1999/awesome-outlier-detection-resources
Outlier detection related books and papers.
DiYi1999/G3CN
DiYi1999/LaTeXLive
LateX公式编辑器-妈叔出品
DiYi1999/my-datascientise-handcode
DiYi1999/NAB
The Numenta Anomaly Benchmark
DiYi1999/pygsp
Graph Signal Processing in Python
DiYi1999/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
DiYi1999/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
DiYi1999/team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
DiYi1999/telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
DiYi1999/TranAD-1
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.