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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
4
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
PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (AAAI 2023)
Undergradute final project with ARIMA,LSTM,GRU,Xgboost and DeepTTE.毕业论文代码库合集，包括基于ARIMA,LSTM,GRU进行时间序列预测，基于DeepTTE解决ETA(estimated time of arrival)问题计算运输完成时长，基于特征工程和xgboost的运力预测