Diffusion Models - Google Colab Experimentation with Code and Prebuilt Models - Part 2
Hands-on exploration of Diffusion Models using Google Colab, covering probabilistic implementations and prebuilt models. Includes code examples and practical demonstrations of the denoising process.
All Things VQGAN - Variational AutoEncoder and VQ-VAE with Codebook Explanations - Part 2
Explore Variational AutoEncoders and Vector Quantized VAE, focusing on codebook explanations. Learn how these advanced techniques improve upon traditional autoencoders for better image generation and representation.
All Things VQGAN - AutoEncoder with Latent Space and Reconstruction Error - Part 1
Explore AutoEncoders, latent space, and reconstruction error in VQGAN. Learn key concepts and their applications in AI, with practical examples and in-depth explanations.
Nvidia Instant-NGP - Create Your Own NeRF Scene From a Video or Images - Hands-On Tutorial
Learn to create NeRF scenes from videos or images using NVIDIA Instant-ngp. This hands-on tutorial covers environment setup, data preparation, and various NeRF visualization techniques on Ubuntu 22.04.
Text to Image Generation Using ruDALL-E Open Source Model
Explore ruDALL-E, an open-source text-to-image model based on DALL-E. Learn about its architecture, models, and try it out in Google Colab for generating images from text descriptions.
Adding Layers and Forward Functions to Your Neural Network in PyTorch
Learn to create neural networks in PyTorch: design layers, implement forward functions, and adapt models for various data types. Hands-on examples cover basic to complex architectures for structured and unstructured data.
Graph Neural Networks Implementation in Python
Learn Graph Neural Networks implementation in Python, covering graph representations, node embeddings, message passing, and practical applications using NetworkX and PyG libraries.
Deep Understanding of MNIST Problem and Its CNN Solution Using CNN Explainer
Comprehensive tutorial on MNIST problem and CNN solution using CNN Explainer. Covers dataset preparation, model architecture, training, and evaluation. Ideal for beginners in deep learning and neural networks.
Create and Visualize Your First Perceptron and Feed Forward Network in Python
Learn to build and visualize Perceptron and Feed Forward networks in Python using Keras and TensorFlow. Ideal for beginners, this hands-on tutorial covers network creation, visualization, and fundamental deep learning concepts.
Create and Visualize Your Very First Neural Network in Python
Create and visualize your first neural network in Python using Keras and TensorFlow. Learn step-by-step, from basic concepts to building a sequential model, with helpful visualizations and a pre-trained network example.
How to Transform and Improve Your Deep Learning Code to a Visual Neural Network
Learn to visualize and improve deep learning neural networks, making them easier to understand and explain through code transformation and network visualization techniques.
World's Hardest Jigsaw vs. Puzzle Machine - All White
Watch a puzzle machine tackle the world's hardest jigsaw—an all-white puzzle. Explore image processing, mathematical algorithms, and innovative engineering solutions in this challenging project.
3D Lighting Effects in Photoshop - Photo Realistic Depth to Flat Images
Learn to create realistic 3D lighting effects in Photoshop, adding depth and texture to flat images. Master advanced techniques using lighting effects and texture channels for stunning visual results.
Whiteboarding - Large Language Model Tech Stack
Explore the LLM tech stack, covering API-accessible and open-source models. Learn about ChatGLM-6B and gain insights into self-hosting options for large language models.
Social Biases in Text Representations and Their Mitigation
Explore social biases in text representations and their mitigation with NLP expert Danushka Bollegala. Learn about gender bias, word embeddings, masked language models, and multi-lingual bias evaluation in AI systems.
Hidden New HDR Features in Photoshop 2023 in Depth
Explore new HDR features in Photoshop 2023's Camera Raw, including merging, display options, visualization, and tone mapping. Learn to create, enhance, and save true HDR images for stunning results.
Object Detection Using OpenCV - Augmented Reality Using OpenCV
Learn object detection with OpenCV for augmented reality applications. Recognize objects as triggers for AR functions, enhancing your robotics and mechatronics skills.
Build a Neural Network for Classification from Scratch with PyTorch
Learn to build a neural network for classification using PyTorch, covering data preparation, network structure, and implementation. Gain hands-on experience in deep learning fundamentals.
Recurrent Neural Networks, Transformers, and Attention
Explore recurrent neural networks, transformers, and attention mechanisms in deep learning. Learn design principles, applications, and advanced concepts like LSTM and backpropagation through time.
OpenAI Embeddings with Voice Cloning - Eleven Labs API, ChatGPT API, Whisper API
Learn to build a voice assistant using OpenAI Embeddings, ChatGPT, Whisper, and Eleven Labs APIs. Combine AI technologies for realistic voice responses and create a custom Q&A system with a Gradio UI.
Dreambooth and LoRA Tutorial - Checkpoints, The Basics and Walkthrough
Learn to create custom AI image models using Dreambooth and LoRA techniques. Explore image processing, checkpoint creation, and concept settings for tailored results in Stable Diffusion.