Deep Learning, NLP, NMT, AI, ML
Name says it all/Instructions are in README file. Setup 1. pip install discord-webhook ( In console, terminal or whatever you use ) 2. Download the file 3. Configure the directory 4. Type “python main.py” 5. Input your targetted webhook ( Don’t delete anything if it makes a new line ) 6. Input your text
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Installation Navigate to the repo directory: cd plover_jyutping plover -s plover_plugins install -e . Restart Plover Note: the plover command can be replaced with the following according to your OS Windows: C:Program Files (x86)Open Steno ProjectPlover 4.0.0plover_console.exe macOS: /Applications/Plover.app/Contents/MacOS/Plover Linux: plover.AppImage Layout To be added. Punctuation The A, O, E, and U keys are defined as !, ?, ,, and . respectively to avoid collision with the the Jyutping syllables. GitHub View Github
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This repository is forked from lijiejie/BBScan 1.5. I migrated the former python code to python3. The following description is the origin author’s readme. BBScan 是一个高并发漏洞扫描工具，可用于 高危漏洞爆发后，编写简单插件或规则，进行全网扫描 作为巡检组件，集成到已有漏洞扫描系统中 BBScan能够在1分钟内 对超过2万个IP地址进行指定端口发现，同时，进行漏洞验证。例如，Samba MS17010漏洞 对超过1000个网站进行HTTP服务发现(80/443)，同时，请求某个指定URL，完成漏洞检测 BBScan is a super fast vulnerability scanner. A class B network (65534 hosts) could be scanned within 4 minutes (ex. Detect Samba MS17010) Up to find more than 1000 target’s web services and meanwhile, detect the vulnerability associated with a specified URL within one minute Install pip3 install -r […]
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The main aim of this project is to recognize voice of the user as input and convert that input voice into the text form. We have used Speech Recognition module of Python to accomplish this mission. Inside it we have modules like PyAudio which helps us to play and record audio. Also, we have used the MySQL connector module for connecting our Python program to our MySQL database. We have created a library named MySQLvoice which helps our Artificial Intelligence […]
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This project developed with Python. When you search in the NIST NVD data, you write a keyword which is explain your research.(https://nvd.nist.gov/vuln/search) After that, you see the vuln ID, description, Published time ,and CVSS severity (Version 2 and Version3) fields. I use the BeautifulSoup library for taking this fileds. The library parse the htlm codes in web sites for what do you want to take.I write the results Sqlite database and json format. I run the project with -w parameter. […]
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Print and/or send to your gmail a personalized list of today’s articles published in ArXiv based on your pre-defined multiple sets of keywords. The script returns: title, abstract and the ArXiv link for each article. Entries are grouped by your pre-defined key. Output example Info This is a very simple code that I wrote for my own personal usage. Some possible future implementations are: Add information to run the code everyday automatically at a certain fixed time using crontab Improve […]
Read moreThis simple_pytorch_example project is a toy example of a python script that instantiates and trains a PyTorch neural network on the FashionMNIST dataset with several common and useful features: Choose between two different neural network architectures Make architectures parametrizable Read input arguments from config file or command line (command line arguments override config file ones) Download FashionMNIST dataset if not already downloaded Monitor training progress on the terminal and/or with TensorBoard logs Accuracy, loss, confusion matrix More details about FashionMNIST […]
Read moreA Raspberry Pi Powered Barcode Reader to load a game on the Mister FPGA using MBC This is a work in progress and a bit hackery 😅 There are limitations on the MBC side. Some of the computer cores don’t work in loading games up. Such as the commodore computers as the cores have changed the menu layout is slightly different. Currently i have only implemented getting games from out of zip files. You can do direct loading of a […]
Read moreСкрипт использует mpv и fzfПауза – spaceВыход – qВыход из скрипта – ctrl+c video, url = parrser.video(url) url – https://invidious.snopyta.org/channel/UC_aEa8K-EOJ3D6gOs7HcyNg url[4] = video[4] from pyfzf.pyfzf import FzfPrompt fzf = FzfPrompt() parserr.youtube(page, search, fzf) or parserr.youtube(2, ‘test search’, fzf)
Read moreLearning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction Robust Self-Supervised Audio-Visual Speech Recognition Introduction AV-HuBERT is a self-supervised representation learning framework for audio-visual speech. It achieves state-of-the-art results in lip reading, ASR and audio-visual speech recognition on the LRS3 audio-visual speech benchmark. If you find AV-HuBERT useful in your research, please use the following BibTeX entry for citation.
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