lmoscoted
Software Engineer passionate for Artificial Intelligence, Machine Learning, and Data Science.
Santiago de Chile
lmoscoted's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
openai/openai-cookbook
Examples and guides for using the OpenAI API
mindsdb/mindsdb
The platform for building AI from enterprise data
sst/sst
Build modern full-stack applications on AWS
openai/chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
optuna/optuna
A hyperparameter optimization framework
Unstructured-IO/unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
turbot/steampipe
Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.
mwouts/jupytext
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
gkamradt/langchain-tutorials
Overview and tutorial of the LangChain Library
alexcasalboni/aws-lambda-power-tuning
AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
whylabs/whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
orico/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
m1guelpf/plz-cli
Copilot for your terminal
bytewax/bytewax
Python Stream Processing
mlrun/mlrun
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
the-full-stack/website
Source for https://fullstackdeeplearning.com
abhishekkrthakur/autoxgb
XGBoost + Optuna
optuna/optuna-examples
Examples for https://github.com/optuna/optuna
optuna/optuna-dashboard
Real-time Web Dashboard for Optuna.
polymeris/remoto-desde-chile
Guías y recursos para trabajadores remotes desde Chile -- a.k.a el FAQ de #remoto
aws-samples/serverless-samples
This repository contains samples of Serverless application code.
FourthBrain/software-dev-for-mlops-101
Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
jconorgrogan/CLARKGPT
The ultimate LLM prompt: extract the best possible answers with the highest fidelity and lowest error rates
MLOps-Courses/mlops-coding-course
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
ryerkerk/aws-batch-python-tutorial
A tutorial for running python scripts using AWS Batch
danpereda/TFUG_Santiago
ramonpzg/pycon-chile-etl-pipelines
Tutorial sobre tuberia de datos para el primer PyCon Chile (2021).