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🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Jupyter notebook tutorials for MMSegmentation
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Provide MATLAB functions to plot Cyclic Spectrum.
A faster pytorch implementation of faster r-cnn
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A paper list of object detection using deep learning.
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.
TODS: An Automated Time-series Outlier Detection System
SMD数据集 出自论文：Robust Anomaly Detection for Multivariate Time Series through Stochastic RNN
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Updated Mar 20, 2023
A Library for Advanced Deep Time Series Models.
Multivariate Time Series Transformer, public version
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
List of tools & datasets for anomaly detection on time-series data.
A curated list of awesome anomaly detection resources
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
Anomaly detection related books, papers, videos, and toolboxes
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (AAAI 2023)