Alberto Nieto's repositories
gcp_ai_pipeline
pipeline to stand up pdf extract and benchmarking
90DaysOfCyberSecurity
This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
auto-code-rover
A project structure aware autonomous software engineer aiming for autonomous program improvement
chat-with-youtube
A browser extension that lets you chat with YouTube videos using Llama2-7b. Built using 🤗 Inference Endpoints and Vercel's AI SDK.
clippy
AI programming assistant
generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
gorilla
Gorilla: An API store for LLMs
CopilotKit
A framework for building custom AI Copilots 🤖 in-app AI chatbots, in-app AI Agents, & AI-powered Textareas.
LLM-from-scratch
Create an LLM from Scratch
localllm_toy_project
space to test localllm from gcp locally first
Magazine-Chat
AI pipeline to download and chat with magazine PDFs
miniature-garbanzo
Toy Project Space for JN
Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
pyzill
Zillow scraper made in Python
ResuLLMe
Enhance your résumé with Large Language Models
snorkel-demo
demo for snorkel
streamlit-db
demo for a streamlit app with db
style-transfer
Style transfer application based on Perceptual Losses for Real-Time Style Transfer and Super-Resolution paper and Justin Johnson's pre-trained models. Use FastAPI as a backend to server predictions, Streamlit for user interface, and OpenCV to do actual prediction. Deployed with Docker.
vector_db_role_access
project to test vector db row level access per user for RAG
vertex-ai-demo
Demonstrates end-to-end machine learning workflow on Vertex AI. Implements fraud detection models with MLOps best practices. Covers data preparation, training, deployment, monitoring. Modular design allows incremental development. Notebooks provide annotated guidance. Ideal for learning applied Vertex AI.