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Lists (7)
Starred repositories
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Curated collection of useful to have programs on a multiboot USB drive
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Penetration Testing For - Web | Mobile | API | Thick Client | Source Code Review | DevSecOps | Wireless | Network Pentesting, etc...
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
A dedicated space for the 100 Days Challenge progress and projects
12 Lessons to Get Started Building AI Agents
This lab demonstrates creating Digital Twin networks for lab use-cases with Netbox and NetReplica
Network Automation Landscape, 30000 feet view of everything related to network automation
Machine Learning Engineering Open Book
Tips and resources to prepare for Behavioral interviews.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
In the evolving world of Large Language Models (LLMs), crafting effective prompts has become an essential skill. That's why I've created this collection, showcasing the most impactful prompts of th…
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
A curated list of free courses with certifications. Also available at https://free-certifications.com/
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
Jupyter Notebook for https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
A netbox plugin that draws topology views
A command-line tool to easily kill processes running on a specified port.
🪄 Spin up ready-to-code, disposable dev environments on your own servers. Self-hosted alternative to Gitpod and Github Codespaces.
Configuration guides for CCIE DC v3.0 and v3.1 lab exams, and other Cisco DC tasks.
Notes on books I read, talks I watch, articles I study, and papers I love