leafkoi

leafkoi's Stars

• ValarDragon/CTF-Crypto

  Contains tools for solving RSA and other crypto problems in CTFs.

  Language:Python31568

• ctf-wiki/ctf-tools

  CTF 工具集合

  Language:Shell1k159

• qianjiachun/douyuEx

  斗鱼直播间增强插件（Tampermonkey）

  Language:JavaScript3.4k92

• ArchLinuxStudio/ShellTutorial

  ✨Linux命令行与Shell脚本教程 | 包含常见命令行使用，Bash基础、高级编程，以及实用范例！ | 提供在线网页文档 ✨

  33038

• xiaolincoder/CS-Base

  图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

  13.2k1.7k

• CoderLeixiaoshuai/java-eight-part

  『Java八股文』Java面试套路，Java进阶学习，打破内卷拿大厂Offer，升职加薪！

  Language:Java5.5k958

• rawandahmad698/PyChatGPT

  ⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

  Language:Python4.2k452

• jackMort/ChatGPT.nvim

  ChatGPT Neovim Plugin: Effortless Natural Language Generation with OpenAI's ChatGPT API

  Language:Lua3.6k308

• seunghoonlee89/Refs_EQA_GSQC

  153

• ccicconetti/queer

  Quantum routing simulations

  Language:Gnuplot61

• ChitambarLab/qNetVO

  Simulate and optimize quantum communication networks using quantum computers.

  Language:Python106

• ChitambarLab/vqo-nonlocality-noisy-quantum-networks

  Supplemental code for "Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks"

  Language:Python12

• mit-han-lab/torchquantum

  A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

  Language:Jupyter Notebook1.2k185

• pytorch/opacus

  Training PyTorch models with differential privacy

  Language:Jupyter Notebook1.7k328

• ElePT/single-qubit-qnn

  Qiskit implementation of the single qubit quantum neural network from Pérez-Salinas et al.

  Language:Jupyter Notebook4

• JQub/qfnn

  Language:Jupyter Notebook133

• wanzhenchn/EndNote_Tutorial_Hand_by_Hand

  手把手教你使用 EndNote X9/NoteExpress

  1.2k223

• Qiskit/qiskit-tutorials

  A collection of Jupyter notebooks showing how to use the Qiskit SDK

  Language:Jupyter Notebook2.3k1.3k

• katsura-jp/fedavg.pytorch

  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017

  Language:Python7519

• lx10077/fedavgpy

  On the Convergence of FedAvg on Non-IID Data

  Language:Python24969

• pliang279/LG-FedAvg

  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

  Language:Python22953

• TGyAlDeen/IDS-UNSW-NB15

  IoT intrusion Detection Model based on neural network and random forests

  Language:Jupyter Notebook4419

• vinayakumarr/Network-Intrusion-Detection

  Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

  Language:Python647234

• harris0704/nbaData16-17

  Language:Python42

• huan/docker-wechat

  DoChat is a Dockerized WeChat (盒装微信) PC Windows Client for Linux

  Language:Shell2.2k199

• shreyagopal/LSTM-Autoencoder-for-Network-Anomaly-Detection

  Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.

  Language:Jupyter Notebook122

• SuryaSheshank/Web-Traffic-Anomaly-Detection-using-C-LSTM

  The model detects the anomalies in Web-Traffic using C-LSTM architecture

  Language:Jupyter Notebook2

• VamsiUdaykumar/IoT-Intrusion-Detection-System

  Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine learning in this case CNN-LSTM is used together in component based architecture.

  Language:Python347

• manojkumar-github/Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRU

  An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach

  Language:Jupyter Notebook3014

• ay4m/seq2seq_bidirectional

  Seq2Seq: Bidirectional LSTM with Attention in Pytorch

  Language:Jupyter Notebook5