Asuskf/from-nlp-to-agents
From NLP to Agents: a practical journey through embeddings, RAG, semantic search, AI agents and vector search.
Python, Data science
Repositories
Asuskf/asuskf-invest.github.io
A transparent view of my investment portfolio, performance, and capital allocation strategy. Explore portfolio growth, investment activity, key performance metrics, and insights into the decisions driving long-term value creation.
Asuskf/Asuskf.github.io
Data Scientist & Machine Learning Engineer specializing in designing advanced AI architectures and analytical solutions for highly complex domains. I am passionate about transforming complex datasets and graph structures into strategic insights, optimizing predictive models from initial research to robust production.
Asuskf/pythonQuito.github.io
Landing page for Python Quito showcasing our talks, community events, partners, and initiatives.
Asuskf/low-cost-llm-finetuning
Hands-on tutorials for low-cost LLM fine-tuning using Google Colab. Includes AirLLM optimization, parameter-efficient methods (LoRA, QLoRA), and knowledge distillation with teacher–student models.
Asuskf/enola-labs
Central repository for Enola projects, including data engineering, machine learning, AI applications, analytics, and reusable components.
Asuskf/study-github-foundations
🚀 An intensive (0 to 100) teaching resource and study guide on Git and GitHub fundamentals
Asuskf/exoplanet-graphrag-neo4j
A hands-on GraphRAG project that transforms exoplanet datasets into a Neo4j knowledge graph, enabling semantic search, relationship discovery, and LLM-powered question answering across astronomical data.
Asuskf/gector-improved-training
Unofficial PyTorch implementation of "GECToR -- Grammatical Error Correction: Tag, Not Rewrite"
Asuskf/Asuskf
This is my personal repo for README
Asuskf/download_books_springer
Asuskf/JuegoGameMaker
Juego creado para la fundación Fdwaal para promocionar su campaña ABCD
Asuskf/infinitus_mind.github.io
Página web de infinitus
Asuskf/GECTOR-Spanish-Medical-Correction
Pipeline integral de MLOps para la corrección gramatical y clasificación de registros médicos en español, diseñado para optimizar auditorías hospitalarias mediante modelos de lenguaje compactos (TinyBERT) y flujos de trabajo automatizados.
Asuskf/diccionarioWPA2-PSK
Este script se creó con fines educativos, para aumentar las probabilidades de éxito al efectuar un ataque de diccionario a una red wifi con protección WPA2-PSK
Asuskf/langGraph-experiments
Simple use cases and practical experiments with open-source and private LLMs, leveraging LangChain as the orchestration framework. This repository explores integrations, workflows, and quick prototypes to better understand the real-world potential of language models.
Asuskf/machinelearning-az
Repositorio del Curso de Machine Learning de la A a la Z con R y Python
Asuskf/Sistema-Contable-Arcano
Es un sistema de contabilidad básico realizado en C# el cual maneja asientos contables, ventas compras, libro diario, moyorización, balances general y perdidas.
Asuskf/llm_engineering
Repo que acompaña a nuestro curso de ingeniería de LLM
Asuskf/matematicas-ml
Fundamentos del aprendizaje automático: Álgebra lineal, cálculo, estadística e informática
Asuskf/introduction_dataScience_exercises
Basado en los libros: Data Science from Scratch SECOND EDITION First Principles with Python by Joel Gru y Introducing Data Science Big data, machine learning, and more, using Python by Davy Cielen, Arno D. B. Meysman, and Mohamed Ali
Asuskf/investigacion
El uso de las Redes Generativas Antagónicas (RGAs) en la generación de imágenes de personas que expresan felicidad en su rostro
Asuskf/Job_search_ChatGPT-prompt
Optimize your Job Search with ChatGPT
Asuskf/intro_macro_python
Meetup macroeconomía básica en Python
Asuskf/test_2023
azure
Asuskf/intro_big_data
Asuskf/flisol_2023_Tena
Analizando los datos con R
Asuskf/curso_r
Asuskf/salta_2022
Entornos basados en jupyter para hacer ciencia de datos R, Julia, SciPy
Asuskf/udemy_estadictica_descriptiva
Curso udemy Frogames Curso completo de Estadística descriptiva - RStudio y Python