Memory profiler
See the memory usage of a script
Tips
DataLoader with pin_memory and num_workers
Increase DataLoader performance with pin_memory and num_workers
py-smi
Python library to get GPU data like `nvidia-smi`
Memory Calculator
Space to calculate the memory needed to run a model
Code formatter Black
Your colleague Patric is writing code that is hard to read? Share with him this code formatter that I show you in this post! Come in and learn how to format code to make it more understandable. We are not going to solve Patric's problems, but at least you won't suffer when reading it
Declarar redes neuronales de forma clara
Declare neural networks clearly in Pytorch
Obtener datos de diccionarios
Obtener datos de diccionarios en Python de forma segura
Single-element tuples in Python
Tip to create single-element tuples in Python
Sort lists in Python without modifying the original
Tip to sort lists in Python without modifying the original
First letter of each word in uppercase in Python
Tip to print strings with the first letter of each word in uppercase in Python
Enteros largos con guión bajo en Python
Tip to write long integers with underscore in Python
Continue reading
MCP Durability: Server and Client with Persistence for Long-Running Tasks
Learn to build durable MCP server and client for long-running tasks with persistence. Complete Model Context Protocol tutorial featuring SQLite data persistence, background task management, and real-time monitoring. Implement data migration, batch processing, and ML model training that survive server restarts. Python code examples using FastMCP, resources, tools, and durability patterns for enterprise applications.
Resumable MCP: How to Build Servers and Clients with Automatic Checkpoints
Learn to build resumable MCP servers and clients with automatic checkpoint capabilities. Complete tutorial on implementing task interruption handling, state persistence, and recovery for long-running processes in Model Control Protocol. Includes practical code with FastMCP, persistent session management, and real-world examples for processes that can be interrupted and resumed from where they left off.
Stream Information in MCP: Complete Guide to Real-time Progress Updates with FastMCP
Learn how to implement real-time streaming in MCP (Model Context Protocol) applications using FastMCP. This comprehensive guide shows you how to create MCP servers and clients that support progress updates and streaming information for long-running tasks. You'll build streaming-enabled tools that provide real-time feedback during data processing, file uploads, monitoring tasks, and other time-intensive operations. Discover how to use StreamableHttpTransport, implement progress handlers with Context, and create visual progress bars that enhance user experience when working with MCP applications that require continuous feedback.
Have you seen these projects?
Horeca chatbot
Naviground
Subtify
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Do you want to improve with these tips?
Last tips -->Use this locally
Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.
Flow edit
FLUX.1-RealismLora
token_hmr
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Do you want to train your model with these datasets?
short-jokes-dataset
Dataset with jokes in English
opus100
Dataset with translations from English to Spanish
netflix_titles
Dataset with Netflix movies and series