swordfishwjy

swordfishwjy's Stars

• benedekrozemberczki/awesome-fraud-detection-papers

  A curated list of data mining papers about fraud detection.

  Language:Python1.7k304

• CagataySonmez/EdgeCloudSim

  EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems

  Language:Java434236

• Trusted-AI/adversarial-robustness-toolbox

  Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

  Language:Python5k1.2k

• qub-blesson/DYVERSE

  DYnamic VERtical Scaling in multi-tenant Edge environments

  Language:Python22

• qub-blesson/DeFog

  Demystifying Fog Systems Using Container-based Benchmarking

  Language:HTML359

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook13.6k2.5k

• hoya012/awesome-anomaly-detection

  A curated list of awesome anomaly detection resources

  2.8k516

• deeplearning-ai/machine-learning-yearning-cn

  Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

  Language:CSS7.8k1.5k

• danielenricocahall/One-Class-NeuralNetwork

  Simplified implementation of one class neural network for nonlinear anomaly detection.

  Language:Python464

• kabkabm/defensegan

  Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

  Language:Python23464

• TDAmeritrade/stumpy

  STUMPY is a powerful and scalable Python library for modern time series analysis

  Language:Python3.7k325

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.9k1.8k

• azl397985856/leetcode

  LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

  Language:JavaScript54.9k9.5k

• MisterBooo/LeetCodeAnimation

  Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

  Language:Java75.6k14k

• home-assistant/core

  :house_with_garden: Open source home automation that puts local control and privacy first.

  Language:Python75.8k32k

• cran2367/lstm_autoencoder_classifier

  An LSTM Autoencoder for rare event classification

  Language:Jupyter Notebook10872

• ntop/nDPI

  Open Source Deep Packet Inspection Software Toolkit

  Language:C3.9k907

• adilkhash/Data-Engineering-HowTo

  A list of useful resources to learn Data Engineering from scratch

  3.6k514

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.8k1.4k

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.4k737

• numenta/NAB

  The Numenta Anomaly Benchmark

  Language:Jupyter Notebook2k867

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.5k1.8k

• rob-med/awesome-TS-anomaly-detection

  List of tools & datasets for anomaly detection on time-series data.

  3k454

• binli826/LSTM-Autoencoders

  Anomaly detection for streaming data using autoencoders

  Language:Python19247

• chen0040/keras-anomaly-detection

  Anomaly detection implemented in Keras

  Language:Python374155

• chickenbestlover/RNN-Time-series-Anomaly-Detection

  RNN based Time-series Anomaly detector model implemented in Pytorch.

  Language:Python1.2k317

• xunhuang1995/SGAN

  Stacked Generative Adversarial Networks

  Language:Python24451

• 521xueweihan/HelloGitHub

  :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

  Language:Python97.5k9.8k

• AbertayMachineLearningGroup/network-threats-taxonomy

  Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies

  Language:TeX10425

• bethgelab/foolbox

  A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

  Language:Python2.8k428