Deep Learning Applications by Rina Panigrahy
Explore deep learning applications, from basic concepts to advanced techniques. Learn about neural networks, optimization methods, and real-world uses in image and speech recognition.
Machine Learning at Amazon by Rajeev Rastogi
Explore machine learning applications at Amazon, from product recommendations to size prediction, with insights on challenges and innovative approaches in e-commerce AI.
ProtoDash - Fast Interpretable Prototype Selection by Karthik Gurumoorthy
Explore ProtoDash, a fast interpretable prototype selection method for extracting compact representations of large datasets, with applications in causal reasoning, data relationships, and prediction accuracy improvement.
A Deep Generative Model for Molecular Graphs by Niloy Ganguly
Explores a deep generative model for molecular graphs using variational autoencoders, discussing its design, properties, and applications in drug discovery and molecule optimization.
Inverse Problems under a Learned Generative Prior - Lecture 1
Explores inverse problems using generative priors, comparing to sparsity models. Covers theory, algorithms, and applications in compressive sensing and phase retrieval, with focus on deep learning approaches.
Toward Theoretical Understanding of Deep Learning - Lecture 2
Explores theoretical aspects of deep learning, including overparameterization, optimization, generalization, and generative models, offering insights for researchers and practitioners in machine learning.
Mathematics of Machine Learning: An Introduction - Lecture 1
Comprehensive introduction to machine learning fundamentals, covering mathematical formalization, deep learning concepts, optimization techniques, and real-world applications in various domains.
Gunnar Carlsson - Deep Learning and TDA
Explore deep learning's interaction with Topological Data Analysis, focusing on explainability and performance enhancement in neural networks and various data analysis applications.
Fine-Tuning LLMs with PEFT and LoRA
Explore efficient fine-tuning of large language models using PEFT and LoRA techniques, with a focus on practical implementation and uploading to HuggingFace Hub.
Model-Based Deep Learning: Deep Equilibrium Models and Proximal Gradient Maps
Explore model-based deep learning, deep equilibrium models, and their applications in image recovery, focusing on robustness, safety, and efficiency in undersampled data scenarios.
SPACE Webinar Series: Adaptive Dynamic Scanning and Task-Driven Image Reconstruction
Prof. Bin Dong explores signal processing challenges, focusing on image reconstruction, deep learning applications, and task-driven approaches in computer vision and medical imaging.
Computational Imaging - Depth Estimation Techniques and Applications
Explore advanced techniques in computational imaging, focusing on depth estimation methods, stereo vision, and novel applications in 3D reconstruction and image synthesis.
Computational Imaging Systems: From DiffuserCam to Neural Activity Tracking - Seminar 2
Explore computational imaging systems, focusing on DiffuserCam technology and its applications in 3D neural activity tracking. Learn about challenges and solutions in image reconstruction and processing.
How to Restore and Colorize Old Photos with AI - Stable Diffusion + ControlNet Tutorial
Learn to restore and colorize old photos using AI techniques like Stable Diffusion and ControlNet. This tutorial covers photo preparation, AI settings, refinement, and final adjustments for impressive results.
Automated Video Creation with Stable Diffusion AI Models - A Developer Guide
Learn to create automated videos with audio using Stable Diffusion AI models in Python. Hands-on tutorial covers installation, GUI usage, pipeline implementation, and provides GitHub resources.
One-Shot Face Stylization with JoJoGAN - Model Save, Export and Deployment
Learn to save, export, and deploy JoJoGAN face stylization models. Covers checkpoint saving, model exporting, inference setup, and style application in Colab environment.
One-Shot Face Stylization with JoJoGAN - Code Walkthrough with Explanations
Explore StyleGAN and JoJoGAN for face style transfer. Learn theory, code walkthrough, and implementation details for efficient one-shot face stylization using Google Colab.
All Things VQGAN - VQ-VAE and GAN with Transformers and Codebook Interaction
Explore VQ-VAE and GAN integration with Transformers in VQGAN, focusing on codebook interaction and new image generation techniques.
The Complete Guide to Transformer Neural Networks
Comprehensive exploration of Transformer neural networks for language translation, covering architecture, key components, and practical implementation insights.
An AI Engineer's Guide to Machine Learning with Keras
Comprehensive guide to building and evaluating machine learning models using Keras, covering data preparation, model creation, training, and performance analysis with practical examples.
Stability AI Plugin for Blender - Create Images, Texture, and Animations
Explore Stability AI's Blender plugin for AI-powered image generation, texturing, and animation. Learn installation, text prompts, texture creation, and keyframe animation techniques.