21 Components & Libraries
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📚 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file. Feel free to take a look. You might learn new th…
You can analyze logs from various sources by passing them using stdin, along with a prompt. For instance, we can use it to quickly analyze logs, identify errors and get suggestions for possible solut…
This project is licensed under the MIT License - Copyright (c) 2019 Tikam Alma
A Mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning. Machine Learning is a subfield of computer science that gives computers the ability to learn without being explic…
Pandas
A trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place. Homework 3
Welcome to the Cheat-Sheet Collection for DevOps, Engineers, IT, and more! This repository contains a curated list of cheat-sheets for various tools and technologies commonly used in the software dev…
Awesome software projects sub-categorized by focus. To the extent possible under law, all contributors have waived all copyright and related or neighboring rights to this work.
This repository aims to collect all the best data science / ai material available on the web from different sources to boost up learning for everyone including me and not to worry, it is Regularly Up…
Note: These Self prepared Interview Questions will be updated weekly.
Credits: UnD3sc0n0c1d0 /var/log/auth.log /var/log/auth.log&cmd=id /var/log/vsftpd.log /var/log/vsftpd.log&cmd=id /var/log/apache2/access.log /var/log/nginx/access.log /var/log/apache2/access.…
Please find below the instructions to access the tool's help function, along with a list of all available switches:
The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you sta…
CS:GO radar hack achieved by patching one byte of game memory. Written in Python 3.
If everything worked properly, when you launch the application you should see this window: I made this with PyCharm.
If you want to use a gpu, you should stick to the pytorch version(model is not accurate right now) and change "device" field in .ini file to gpu. If you want to use cpu, please compare which one is f…
I fixed the code in some places that caused the old version written by the author to stop working. 2- Insert a Score that you want
Here, you can find all cheatsheets for Data Science, Machine Learning and Deep Learning.
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