cracer's Stars
steveloughran/winutils
Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase)
openai/improved-gan
Code for the paper "Improved Techniques for Training GANs"
Harry24k/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks [torchattacks]
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
runhey/OnmyojiAutoScript
Onmyoji Auto Script | 阴阳师脚本
nfstream/nfstream
NFStream: a Flexible Network Data Analysis Framework.
WenjieDu/PyPOTS
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
chq1155/A-Survey-on-Generative-Diffusion-Model
fry404006308/fry_course_materials
范仁义录播课资料,会依次推出各种完全免费的前端、后端、大数据、人工智能等课程,课程网站: https://fanrenyi.com ; b站课程地址: https://space.bilibili.com/45664489 ;
shayneobrien/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
lpj-github-io/MWCNNv2
Multi-level Wavelet Convolutional Neural Networks
manigalati/usad
zhhlee/InterFusion
KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
hmishra2250/Botnet-Detection-using-Machine-Learning
Repository of Bachelor's Major Project on Botnet Detection
LiQiufu/WaveCNet
the code for WaveCNet
eBay/RANSynCoders
EmreEkin/ICS-Pcaps
tklab-tud/ID2T
Official ID2T repository. ID2T creates labeled IT network datasets that contain user defined synthetic attacks.
Critical-Infrastructure-Systems-Lab/DHALSIM
Digital Twin for Water Distribution Systems. A work by the SUTD Critical Infrastructure Systems Lab, TU Delft, CISPA, and iTrust
SirAlex900/FeatureProgramming
sheoyon-jhin/PAD
Precursor-of-Anomaly Detection
ChengqingYu/DSformer
It is the code for the double sampling Transformer
cuijiancorbin/Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI
In this project, we implemented 7 interpretation techniques on two benchmark deep learning models "EEGNet" and "InterpretableCNN" for EEG-based BCI. The methods include: gradient×input, DeepLIFT, integrated gradient, layer-wise relevance propagation (LRP), saliency map, deconvolution, and guided backpropagation
kingjml/pySnowRadar
Snow radar data processing and snow depth retrieval
enthought/blusky
BluSky
Leon-Vogel/PlantSimulationRL
Leon-Vogel/PlantSim_RLMV
cracer/ad_examples
A collection of anomaly detection methods
cracer/pulearning632
RabbITCybErSeC/WADI-DATASET-Dhalsim
Dataset generated by the DHALSIM simulator