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Starred repositories
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
MicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.
A collection of various awesome lists for hackers, pentesters and security researchers
Papers from the computer science community to read and discuss.
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Get your documents ready for gen AI
Fork of Apache Kafka implementing KIP-1150 -- Diskless Topics
High Performance Web Platform Based on Nginx and LuaJIT
Roo Code gives you a whole dev team of AI agents in your code editor.
OpenTofu lets you declaratively manage your cloud infrastructure.
💫 Toolkit to help you get started with Spec-Driven Development
Source code for the examples in "Kubernetes Operators" by Jason Dobies and Joshua Wood, O'Reilly, 2020
Curated list of data science interview questions and answers
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Curated coding interview preparation materials for busy software engineers
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Classical equations and diagrams in machine learning
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
12 Lessons to Get Started Building AI Agents
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"





