AI/ML Snippets
AI and Machine Learning code snippets and knowledge.
Snippets
- Data Augmentation
Data augmentation techniques for Keras and PyTorch - DNN Policy Learning Theory
Deep Neural Network policy learning with mathematical foundations. Policy … - Graph RAG Techniques
Graph-based Retrieval-Augmented Generation for enhanced context and relationship … - Image to Vector Embeddings
Image embeddings convert visual content into dense vector representations that … - Keras Essentials
High-level Keras API for building neural networks quickly. Installation 1# Keras … - LangChain Recipes
Practical recipes for building LLM applications with LangChain: prompts, chains, … - ONNX Model Conversion
ONNX (Open Neural Network Exchange) for converting models between frameworks. … - PyTorch Essentials
Essential PyTorch operations and patterns for deep learning. Installation 1# CPU … - Q-Learning Theory
Q-Learning algorithm theory with mathematical foundations. Markov Decision … - RAG (Retrieval-Augmented Generation)
Retrieval-Augmented Generation techniques for enhancing LLM responses with … - Sound to Vector Embeddings
Audio embeddings convert sound signals (speech, music, environmental sounds) … - Tensor Mathematics & Backpropagation
Tensor mathematics fundamentals and backpropagation theory with detailed … - TensorFlow Essentials
Essential TensorFlow operations and patterns for deep learning. Installation 1# … - TensorFlow Lite
TensorFlow Lite for deploying models on mobile and embedded devices. Convert … - Text to Vector Embeddings
Text embeddings convert textual content into dense vector representations that …