Federated Learning with Non-IID Data

This is an implementation of the following paper: Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra.Federated Learning with Non-IID DataarXiv:1806.00582. Paper TL;DR: Previous federated optization algorithms (such as FedAvg and FedProx) converge to stationary points of a mismatched objective function due to heterogeneity in data distribution. In this paper, the authors propose a data-sharing strategy to improve training on non-IID data by creating a small subset of data which is globally shared between all the edge […]

November 15, 2021 Automation

Capsule Network via Bottleneck Block and Automated Gradual Pruning

A pytorch implementation of “A Novel Effective and Efficient Capsule Network viaBottleneck Residual Block and Automated GradualPruning”. Since the experimental results in the paper are based on the graphics card (Tesla k40) with low computing power, the experiments at that time were very laborious, and there was no good display of the model results. The calculation of the graphics card (GTX 1060 and 3090) used in this reproduction is higher than the former. The results in the paper will fluctuate, […]

November 15, 2021 Assistant

The app gets your sutitle.srt and proccess it to extract sentences

This app gets your sutitle.srt and proccess it to extract sentences, and also find Start time and End time of them. Step 1: install this packages using “PIP” googletrans (Translate) arabic_reshaper (Text correction) bidi.algorithm (Text correction) tkinter (GUI) Step 2: run SubtitleProccess.py Input: put srt file in src folder name should be “subtitle” => subtitle.srt Output: displaying sentences with order and structure Sentence is : .ﻝﺎﮕﻧﻮﮔ ﮏﻣ ﺭﻮﺴﻓﻭﺮﭘ ،ﺩﻮﺑ ﺪﯿﻫﺍﻮﺧ ﺎﺠﻨﯾﺍ ﺎﻤﺷ ﻪﮐ ﻢﺘﺴﻧﺍﺩ ﯽﻣ ﺪﯾﺎﺑ ﻦﻣ Start Time is […]

November 15, 2021 Search

Example Of Splunk Search Query With Python And Splunk Python SDK

Example Of Splunk Search Query With Python And Splunk Python SDK installation: ➜ ~ git clone https://github.com/AmirHoseinTangsiriNET/SSQAuto/ … ➜ ~ Windows: cd SSQAutoSSQAuto ➜ ~ Windows: py SSQAuto.py … ➜ ~ Linux: cd /SSQAuto/SSQAuto ➜ ~ Linux: python3 SSQAuto.py Prerequisite Python 3 Splunk SDK Python Module GitHub View Github

November 15, 2021 Graph

Heterogeneous Graph Neural Networks for Keyphrase Generation

This repository contains the code for our EMNLP 2021 paper “Heterogeneous Graph Neural Networks for Keyphrase Generation”. Our implementation is built on the source code from keyphrase-generation-rl and fastNLP. Thanks for their work. If you use this code, please cite our paper: @inproceedings{ye2021heterogeneous, title={Heterogeneous Graph Neural Networks for Keyphrase Generation}, author={Ye, Jiacheng and Cai, Ruijian and Gui, Tao and Zhang, Qi}, booktitle={Proceedings of EMNLP}, year={2021} } Dependency python 3.5+ pytorch 1.0+ dgl 0.4.3 sentence_transformers 1.1.0 faiss 1.6.3

November 15, 2021 Scripts

A simple Botter made in Python 3 for Kahoot.com

A simple Botter made in Python 3 for Kahoot.com.Also sorry for the shitty code lol.Cancel changes You need Python 3 installed on your device.After, do you need to install the requirements trought the file requirements.txt. Run this command in the same directory:pip3 install -r requirements.txt Then, just run the Tool with:python3 main.py Telegram: https://t.me/xssinjection || 1713081092 Discord: AsyncCode#4450 || 843362798486159371 Telegram: https://t.me/CyberLestofante Discord: kl3sshydra#6257 GitHub View Github

November 15, 2021 Reader

Code to work with wave files

November 15, 2021 DNS

A high-performance DNS stub resolver for bulk lookups and reconnaissance (subdomain enumeration)

A high-performance DNS stub resolver MassDNS is a simple high-performance DNS stub resolver targeting those who seek to resolve a massive amount of domain names in the order of millions or even billions. Without special configuration, MassDNS is capable of resolving over 350,000 names per second using publicly available resolvers. Contributors Compilation Clone the git repository and cd into the project root folder. Then run make to build from source. If you are not on Linux, run make nolinux. On […]

November 15, 2021 Converter

Interactive convnet features visualization for Keras

Interactive convnet features visualization for Keras The quiver workflow Video Demo Build your model in keras Launch the visualization dashboard with 1 line of code quiver_engine.server.launch(model, classes=[‘cat’,’dog’], input_folder=’./imgs’) Explore layer activations on all the different images in your input folder. Quickstart Installation pip install quiver_engine If you want the latest version from the

November 15, 2021 HTTP

Take a list of domains and probe for working HTTP and HTTPS servers

Take a list of domains and probe for working http and https servers. Install ▶ go get -u github.com/tomnomnom/httprobe Basic Usage httprobe accepts line-delimited domains on stdin: ▶ cat recon/example/domains.txt example.com example.edu example.net ▶ cat recon/example/domains.txt | httprobe http://example.com http://example.net http://example.edu https://example.com https://example.edu https://example.net By default httprobe checks for HTTP on port 80 and HTTPS on port 443. You can add additional probes with the -p flag by specifying a protocol and port pair: ▶ cat domains.txt | httprobe -p […]

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