V-JEPA: Learning Video
Representations by Feature Prediction
From video tubelets to pretrained features, temporal tests and a small action-classification experiment.
Exploring machine learning through practical examples.
Topic:
JEPAComputer visionPython
From video tubelets to pretrained features, temporal tests and a small action-classification experiment.
ClassificationPython
Comparing structured model decisions on the same support ticket.
Machine learningWorld models
Building visual intuition with a small implementation.
FastHTMLPythonOAuth
Easily integrate secure Google sign-in to your FastHTML app with this step-by-step Google OAuth implementation guide.
tmuxTerminalProductivity
Learn how to install, configure, and use tmux to boost your terminal productivity with sessions, windows, and panes.
Hugging FacePythonDiffusers
Discover how to launch Jupyter Notebooks with lightning-fast performance using the `uv` Python package manager.
Hugging FacePythonDiffusers
Learn how to harness the speed of `uv` for fast, local AI image generation with Hugging Face Diffusers and CUDA.
n8nVPSPython
Discover how to easily run Python scripts directly in your self-hosted n8n workflows.
Deep LearningPythonFastai
This lesson covers how to train a digit classifier from scratch using the MNIST dataset.
Deep LearningPythonFastai
In lesson 2 we build a custom multi-image classifier and deploy it to Hugging Face Spaces as a FastHTML web app!
Deep LearningPythonFastai
First in a series of posts documenting my progress on the fast.ai course by Jeremy Howard. This initial lesson covers image classifiers.
n8nGoogle DocsJavaScript
Learn how to use n8n to automate posting and formatting content in Google Docs with just one workflow.
SQLitePython
An introduction to the basics of fastlite and sqlite-utils for creating and managing SQLite databases.
PythonTutorial
Discover how decorators can transform your functions, manage state, enhance code reusability, and help to make your code more elegant and maintainable.
Machine LearningComfyUI
Introduction to the various parameter settings available for the LTX-Video model, and how they work.
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