Skip to content
#

ai-training

Here are 60 public repositories matching this topic...

A step-by-step walkthrough of the inner workings of a simple neural network. The goal is to demystify the calculations behind neural networks by breaking them down into understandable components, including forward propagation, backpropagation, gradient calculations, and parameter updates.

  • Updated Mar 7, 2025
  • Jupyter Notebook

Master the essential steps of pretraining large language models (LLMs). Learn to create high-quality datasets, configure model architectures, execute training runs, and assess model performance for efficient and effective LLM pretraining.

  • Updated Aug 7, 2024
  • Jupyter Notebook

Python tool for capturing and logging human-computer interactions. Generate rich datasets for training multi-modal LLMs in autonomous computer control. Features screenshot, mouse, keyboard, and audio recording.

  • Updated Sep 16, 2024
  • Python

A tool to extract plain (unformatted) multilingual / language-agnostic text, redirects, links and categories from wikipedia backups (dumps). Designed to prepare clean training data for AI Training / Machine Learning software.

  • Updated Mar 31, 2025
  • Python

This repository provides a robust and flexible framework for training image classification models using PyTorch. It's designed to be highly customizable and easy to use, allowing you to run experiments with different models, data augmentation techniques, and training configurations.

  • Updated Jul 29, 2025
  • Python

Improve this page

Add a description, image, and links to the ai-training topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ai-training topic, visit your repo's landing page and select "manage topics."

Learn more