Deep Learning, NLP, NMT, AI, ML
The World’s Most Fastest Proxy Checker In Python, Maybe?! Features Based on Python 3.7+ Save Valid Porixes into the custom file Multi-Thread Fully Asynchronous Supported Proxy Types: HTTP – SOCKS4 – SOCKS5 Customize Connection Timeout Customize Process Timeout (to Avoid freezing) Test All Proxies with https://google.com Quick start
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The Oracle is a Python library that uses several AI prediction models to predict stocks returns over a defined period of time. It was firstly introduced in one of my previous package called Empyrial. Disclaimer: Information is provided ‘as is’ and solely for informational purposes, not for trading purposes or advice. How to install 📥 How to use 💻
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This code implements the attack detailed in the paper: On the tropical discrete logarithm problem and security of a protocol based on tropical semidirect product Any Muanalifah, Sergei Sergeev Which can be found at:https://eprint.iacr.org/2021/040.pdf The script “iacr2021040.py” taken an optional argument specifying the dimension of the public matrix to generate. If not specified, it uses dimension 100. It is highly reccomended to run the script using PyPy. GitHub View Github
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MS-FSRVP coercion abuse PoC Credits: Gilles LIONEL (a.k.a. Topotam)Source: https://twitter.com/topotam77/status/1475701014204461056 Explanation: https://www.thehacker.recipes/ad/movement/mitm-and-coerced-authentications/ms-fsrvp MS Docs: https://docs.microsoft.com/en-us/openspecs/windows_protocols/ms-fsrvp/dae107ec-8198-4778-a950-faa7edad125b “File Server VSS Agent Service” needs to be enabled on the target server. shadowcoerce.py -d “domain” -u “user” -p “password” LISTENER TARGET In my tests, the coercion needed to be attempted twice in order to work when the FssAgent hadn’t been requested in a while. TL;DR: run the command twice if it doesn’t work. GitHub View Github
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Minecraft Multi-Server Pinger Discord Embed What does this bot do?It sends an embed and uses mcsrvstat API and checks if the list of your servers are online or notOnce it sends the embed, it will store the message ID, and edits the embed once refreshes. You can store an array of servers and asks it whether to get player number or not,Good for monitoring Minecraft networks. How to host yourself?Edit the config.json file and enter your detailsEdit the main.py file […]
Read moreThis is a monitoring plugin for Icinga, Nagios and other compatible monitoring solutions to check MikroTik devices running RouterOS.It uses the API to fetch the required information. Requirements Installation PIP If you want to use pip we recommend to use as virtualenv to install the dependencies. pip install -r requirements.txt Copy the script check_routeros.py into your plugin directory. Debian/Ubuntu Install the required packages sudo apt-get install python3 python3-click python3-librouteros python3-nagiosplugin Copy the script check_routeros.py into your plugin directory. Usage To […]
Read moreThis is a CLI for advanced management of your notes with simple commands. To use this app, simpy clone this repo and place your notes into storage folder. You can set up the relative path and name of the folder with notes in scripts/config.py. To manage your notes, just run python manager.py. There are scripts which help to work with text in the files in the scripts/body_tools.py. You can add your own functions in the scripts/custom_tools.py. Don’t forget to register […]
Read moreDeveloping and benchmarking deep learning-based remote sensing change detection methods using PaddlePaddle. CDLab also has a PyTorch version. Currently, this repo contains more model implementations, dataset interfaces, and configuration files. Prerequisites opencv-python==4.1.1paddlepaddle-gpu==2.2.0visualdl==2.2.1pyyaml==5.1.2scikit-image==0.15.0scikit-learn==0.21.3scipy==1.3.1tqdm==4.35.0 Tested using Python 3.7.4 on Ubuntu 16.04. Get Started In src/constants.py, change the dataset locations to your own. Model Training To train a model from scratch, use python train.py train –exp_config PATH_TO_CONFIG_FILE A few configuration files regarding different datasets and models are provided in the configs/ folder for […]
Read moreThis repository contains unofficial code reproducing Agent57, which outperformed humans in all Atari games. agent.py define agent to play a supecific environment. buffer.py define buffer to store experiences with priorites. learner.py define learner to update parameter such as q networks and functions related to intrinsic reward. main.py run the main pipeline. model.py define some models such as q network and functions related to intrinsic reward. segment_tree.py define segment tree which decide segment index according to the priority. tester.py define tester […]
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