Garcia2307's Stars
NREL/SAM
System Advisor Model (SAM)
espressif/esp32-c3-book-en
Read the book here:
bjepson/Arduino-Cookbook-3ed-INO
Arduino sketches for Arduino Cookbook, 3rd Edition
SergioGasquez/SergioGasquez
Personal README
APMonitor/pdc
Process Dynamics and Control
mathworks/awesome-matlab-students
An awesome list of helpful resources for students learning MATLAB & Simulink. List includes tips & tricks, tutorials, videos, cheat sheets, and opportunities to learn MATLAB & Simulink.
Pierian-Data/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
dipakkr/A-to-Z-Resources-for-Students
✅ Curated list of resources for college students
OpenInterpreter/open-interpreter
A natural language interface for computers
THU-MIG/yolov10
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
NoorQureshi/kali-linux-cheatsheet
Kali Linux Cheat Sheet for Penetration Testers
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
ansys/pyfluent
Pythonic interface to Ansys Fluent
tuff96/Malware-detection-using-Machine-Learning
Komal01/phishing-URL-detection
Phishing website detection system provides strong security mechanism to detect and prevent phishing domains from reaching user. This project presents a simple and portable approach to detect spoofed webpages and solve security vulnerabilities using Machine Learning. It can be easily operated by anyone since all the major tasks are happening in the backend. The user is required to provide URL as input to the GUI and click on submit button. The output is shown as “YES” for phishing URL and “NO” for not phished URL. PYTHON DEPENDENCIES: • NumPy, Pandas, Scikit-learn: For Data cleaning, Data analysis and Data modelling. • Pickle: For exporting the model to local machine • Tkinter, Pyqt, QtDesigner: For building up the Graphical User Interface (GUI) of the software. To avoid the pain of installing independent packages and libraries of python, install Anaconda from www.anaconda.com. It is a Python data science platform which has all the ML libraries, Data analysis libraries, Jupyter Notebooks, Spyder etc. built in it which makes it easy to use and efficient. Steps to be followed for running the code of the software: • Install anaconda in the system. • gui.py : It contains the code for the GUI and is linked to other modules of the software. • Feature_extractor.py: It contains the code of Data analysis and data modelling. • Rf_model.py: It contains the trained machine learning model. • Only gui.py is to be run to execute the whole software.
hposton/python-for-cybersecurity
This repository holds the Python scripts discussed in the Infosec Institute's Python for Cybersecurity learning Path
grananqvist/Machine-Learning-Web-Application-Firewall-and-Dataset
opencv/opencv
Open Source Computer Vision Library
mohamedbenchikh/MDML
Malware Detection using Machine Learning (MDML)
PacktPublishing/Machine-Learning-for-Cybersecurity-Cookbook
Machine Learning for Cybersecurity Cookbook, published by Packt
DataTalksClub/llm-zoomcamp
LLM Zoomcamp - a free online course about building a Q&A system
All-Hands-AI/OpenHands
🙌 OpenHands: Code Less, Make More
DataExpert-io/data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/