PyTorch's Computational Graph and Torchviz Visualization Tutorial
Learn to build neural networks, understand PyTorch's computational graph, and visualize deep learning networks using PyTorchViz in this comprehensive tutorial.
Carlos Ruiz, Colegio de Matematicas Bourbaki: Tame Neural Networks
Explore inequalities in logically tame neural networks and their role in understanding deep learning, with insights from mathematical analysis.
Creating AI Art with Stable Diffusion in Photoshop
Discover how to generate and enhance AI art using Stable Diffusion within Photoshop, exploring text-to-image creation and image enhancement techniques for stunning visual results.
Transformers - From Zero to Hero
Comprehensive deep dive into transformer architecture, covering key concepts from self-attention to tokenization. Includes hands-on coding for both encoder and decoder implementations.
ComfyUI Master Tutorial - Stable Diffusion XL - Install on PC, Google Colab and RunPod
Comprehensive guide on installing and using ComfyUI with SDXL on various platforms. Learn advanced Stable Diffusion techniques, including inpainting, LoRAs, and workflow optimization.
SDXL Training With Kohya LoRA - Stable Diffusion XL Training Will Replace Older Models
Learn to install Kohya GUI, train SDXL models with LoRA, optimize parameters, generate high-quality images, and utilize AI tools for image sorting and enhancement. Ideal for both beginners and experienced users in AI image generation.
How to Do SDXL Training with Kohya LoRA - Kaggle - No GPU Required
Master Stable Diffusion XL training using Kaggle's free GPUs. Learn to set up, train, and utilize LoRA models with Kohya SS GUI, optimizing your AI image generation workflow.
Generative Models Application in High Energy Physics
Explore generative models in high-energy physics, focusing on applications and techniques for data analysis and new physics discovery in particle collider experiments.
Generative Models in High Energy Physics
Explore generative models in high-energy physics, focusing on applications for data analysis and new physics discovery. Learn techniques to handle large datasets and improve experimental outcomes.
Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 7
Explore advanced machine learning techniques for high energy physics, including Deepsets, Graph Neural Networks, and Transformers, to analyze complex particle physics data.
Creating an Animal Segmentation Model with U-Net and TensorFlow Keras
Learn to implement and train a U-Net model for animal segmentation using TensorFlow/Keras. Covers data preprocessing, model architecture, training, and evaluation with practical code examples.
Embeddings in Stable Diffusion - Local Installation Tutorial
Learn to utilize embeddings in locally installed Stable Diffusion, enhancing AI-generated images with custom concepts and styles. Explore techniques for creating unique visual content.
Installing Stable Diffusion Locally for Free AI Image Generation - PC Version
Learn to install and use Stable Diffusion locally on your PC for free AI image generation, including upscaling capabilities and helpful resources for prompts.
Train Stable Diffusion on Your Own Photos - Updated Tutorial
Learn to customize Stable Diffusion with personal photos, using tools like RunPod and Dreambooth. Includes tips for image preparation, troubleshooting, and optimizing results.
Tropical Solutions to Hard Problems in Auction Theory and Neural Networks - Lecture II
Explore tropical mathematics and its applications in neural networks, auction theory, and more, focusing on key ideas of tropical objects as limits and their polyhedral geometry.
Tropical Solutions to Hard Problems in Auction Theory and Neural Networks - Lecture I
Explore tropical mathematics and its applications in neural networks, auction theory, and more. Learn about min-plus algebra, tropical objects, and polyhedral geometry to solve complex problems.
Generalization in Deep Learning Through the Lens of Implicit Rank Minimization
Explores implicit regularization in deep learning through matrix and tensor factorizations, revealing tendencies towards low ranks. Discusses implications for generalization and potential improvements in neural network design.
Stable Diffusion - Create a PNGtuber with Character LoRA
Learn to create a custom PNGtuber using Stable Diffusion, Character LoRA, and various AI tools. Master techniques for character design, image manipulation, and integration with streaming software.
Deep Learning and Energy Models for Fine Dead Wood Segmentation - Jacquelyn Shelton
Explore deep learning and energy models for fine dead wood segmentation in climate research, focusing on carbon cycle implications and advanced image analysis techniques.
Deep Learning for Subseasonal Global Precipitation Prediction - Maria Molina
Explore deep learning techniques for predicting global precipitation patterns on a subseasonal timescale, advancing climate science through innovative machine learning approaches.
Ultimate Dreambooth Guide for AI Art Creation
Comprehensive guide to creating AI art with Dreambooth and Stable Diffusion, covering photo preparation, Google Colab method, local installation, troubleshooting, and image generation techniques.