AI Community Tutorial covering LLM fine-tuning, Generative Model Architecture, and more for practical projects.
A comprehensive Data Science Master Course with Gen AI Crash Course from Scratch on GitHub.
Explore AI HUB's comprehensive resources for learning machine learning and AI technologies.
A package of non-OOP functions for Machine Learning developed by Moroccan AI engineering students.
Create your own Generative AI language model from scratch, including pretraining and fine-tuning with LoRA.
A comprehensive guide to learning AI from an engineering perspective, covering fundamentals to advanced concepts.
A demonstration project for building AI agents from scratch on GitHub.
An immersive project to build a GPT model inspired by Andrej Karpathy’s lecture, focusing on hands-on coding and architecture understanding.
Explore a Python implementation of a Deep Q Learning Network using TensorFlow and OpenAI Gym.
Learn to build neural networks using Python and NumPy, covering key concepts like neurons, layers, and backpropagation.
A custom GPT based on Zero To Hero for AI Transformer education and reverse engineering GPT models.
C++17 Neural Network and Deep Learning for Esp32 on IDF from scratch.