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.
A tutorial on coding a convolutional neural network in Java from scratch.
Implementation of various machine learning algorithms using numpy and basic libraries.
A GitHub repository for developing autonomous embodied AI systems from scratch.
Explore from-scratch implementations of AI models, approaches, and tricks in this GitHub repository.
A Python resource for teaching neural networks in graduate courses on Deep Learning.
A GitHub repository for building a ReAct AI agent without frameworks, focusing on memory and tool handling.
A comprehensive guide to developing LLM-based AI applications from the ground up.
Explore the GitHub repository for the LinkedIn Learning course on building a generative language model from scratch.
A GitHub repository containing a transformer implementation with detailed comments.
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