Speed-ups for State-of-the-Art Generative AI Drug Discovery Applications
Explore cutting-edge generative AI techniques for drug discovery, including VAEs, Hugging Face pipelines, and LLM comparisons. Learn to accelerate inference times using C++ and cloud platforms.
Building Threat Detection Systems - An MLE's Perspective
Explore threat detection systems from an MLE's perspective. Gain insights on rule engines, testing ML models, and the importance of writing for professional development in MLOps.
Fine-Tuning a Diffusion Model with Your Photos
Learn to fine-tune a diffusion model using your own photos. Explore Flux Schnell, set up GPU environments, create datasets, and understand the intricacies of diffusion models and their architectures.
Generative AI and Large Language Models: Recent Advancements and Challenges
Explore generative AI advancements, challenges, and VinAI's contributions with Dr. Hung Bui. Gain insights into AI-generated content's impact and the pressing issues in this rapidly evolving field.
Modelling and Controlling Turbulent Flows through Deep Learning
Explore deep learning applications in modeling and controlling turbulent flows, from flow reconstruction to reinforcement learning for flow control, with insights on CNN architectures and transfer learning.
Generating New Molecules Using Machine Learning and AI - Lecture 15
Explore advanced machine learning concepts for molecular generation, from autoencoders and VAEs to GANs, culminating in practical applications for antibiotic discovery using AI.
Physics-Enhanced Gaussian Processes for Learning of Electromechanical Systems
Explore physics-enhanced Gaussian processes for modeling electromechanical systems. Learn about GP-PHS and physics-enhanced variational autoencoders to improve data efficiency and ensure physical correctness.
Diffusion Models in Machine Learning - Lecture 16
Explore diffusion models in machine learning, covering theory, applications, and efficient implementation techniques for advanced AI image generation.
Diffusion Models in Efficient Machine Learning - Lecture 16
Explore diffusion models in-depth, covering theory, applications, and efficient implementation techniques for advanced machine learning practitioners.
Introduction to Deep Generative Models
Explore deep generative models, their applications, and underlying principles in this comprehensive introduction by Jes Frellen at the Nordic Probabilistic AI School.