amit-chaubey/mkdocs-material
Documentation that simply works
MSc AI | AWS SAA | CKA
Documentation that simply works
AWS QnABot is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.
Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
GPT-style LLM built from scratch in PyTorch , multi-head attention, GQA, RoPE, RMSNorm, training loop with warmup + cosine decay. A simple, readable transformer implementation for learning how LLMs work.
Main Kagenti repo - installer, UI and docs
kagent and kMCP website and documentation | Join Discord: https://bit.ly/kagentdiscord
Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
Code for kubernetes.dev
A Kubernetes controller for Elastic Load Balancers
Linux kernel source tree
Intelligent Document Processing with AWS AI Services and generative AI
A collection of Jupyter notebooks for fine-tuning small language models using LoRA and 4-bit quantization across multiple architectures (Phi, Gemma, DialoGPT, DeepSeek, SmolLM).
A fast CLI to spin up local Kubernetes clusters using Kind and Docker.
A cloud-native iris ML inference service built with FastAPI, containerized using Docker, locally tested on Kubernetes (Minikube), and designed for scalable AWS deployment.
MLOps pipeline for housing price prediction with training, serving, and deployment.
agentic devops
Bootstrap Kubernetes the hard way. No scripts.
🦜🔗 Docs for LangChain projects
CKA Certification Exam Guide 2026 — study notes, practice questions, kubectl cheat sheet, exam tips, and full Kubernetes v1.35 syllabus breakdown. Covers etcd backup, RBAC, kubeadm, Gateway API, NetworkPolicy, troubleshooting, and killer.sh prep. Scored 89%.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
scikit-learn: machine learning in Python
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch tutorials.
Implement a reasoning LLM in PyTorch from scratch, step by step
The Prometheus monitoring system and time series database.
An Open Source Machine Learning Framework for Everyone
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step