cracer

cracer's Stars

• steveloughran/winutils

  Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase)

  Language:Shell2.5k16203k

• openai/improved-gan

  Code for the paper "Improved Techniques for Training GANs"

  Language:Python2.3k25041623

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.8k19144345

• 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.

  1.8k5922161

• runhey/OnmyojiAutoScript

  Onmyoji Auto Script | 阴阳师脚本

  Language:Python1.4k8195149

• nfstream/nfstream

  NFStream: a Flexible Network Data Analysis Framework.

  Language:Python1.1k27129118

• 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

  Language:Python9261217189

• chq1155/A-Survey-on-Generative-Diffusion-Model

  89413557

• 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 ；

  Language:Jupyter Notebook61132165

• shayneobrien/generative-models

  Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

  Language:Jupyter Notebook49916375

• lpj-github-io/MWCNNv2

  Multi-level Wavelet Convolutional Neural Networks

  Language:Python26441162

• manigalati/usad

  Language:Jupyter Notebook2026858

• zhhlee/InterFusion

  KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

  Language:Python19622246

• hmishra2250/Botnet-Detection-using-Machine-Learning

  Repository of Bachelor's Major Project on Botnet Detection

  Language:Jupyter Notebook15514377

• LiQiufu/WaveCNet

  the code for WaveCNet

  Language:Python12331916

• eBay/RANSynCoders

  Language:Jupyter Notebook777215

• EmreEkin/ICS-Pcaps

  545022

• tklab-tud/ID2T

  Official ID2T repository. ID2T creates labeled IT network datasets that contain user defined synthetic attacks.

  Language:Python54811022

• 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

  Language:Python4481522

• SirAlex900/FeatureProgramming

  39321

• sheoyon-jhin/PAD

  Precursor-of-Anomaly Detection

  Language:Python36126

• ChengqingYu/DSformer

  It is the code for the double sampling Transformer

  Language:Python14331

• 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

  Language:Python14104

• kingjml/pySnowRadar

  Snow radar data processing and snow depth retrieval

  Language:Python87153

• enthought/blusky

  BluSky

  Language:Jupyter Notebook522414

• Leon-Vogel/PlantSimulationRL

  Language:Python5100

• Leon-Vogel/PlantSim_RLMV

  Language:Python3101

• cracer/ad_examples

  A collection of anomaly detection methods

  Language:Python1000

• cracer/pulearning632

  Language:Jupyter Notebook1000

• RabbITCybErSeC/WADI-DATASET-Dhalsim

  Dataset generated by the DHALSIM simulator

  1101