18 articles
RIFE uses deep learning to improve video frame rates. This article provides a brief overview of the technology and its underlying architecture.
Critical overview of VaR and CVaR for investment risk management. Learn how to evaluate and use these indices to manage potential losses effectively.
Dive into the Stable Diffusion 3 (SD3) research paper. Learn about the shift to MM-DiT architecture, new text encoders, and improvements in txt2img performance.
Stream Diffusion enables high-quality real-time generation. We briefly explain the technology behind this high-speed diffusion model.
Master the Barra model for portfolio risk management. Learn about multi-factor modeling, beta calculation, and performance decomposition for smart investing.
IPAdapter adds image prompt functionality to Stable Diffusion. We explain its architecture, benefits, and impressive evaluation results.
AnimateDiff enables video generation in SD models. We explain Domain Adapters, Motion Modules, and the mechanism for high-quality animation.
Master the Fama-French 3-Factor Model with our Python guide. Learn how market, size, and value factors drive investment returns.
In this article, explaining basic concept, Merit, calculation method of Risk Parity Portfolio, and implementation method in Python.
ControlNet enhances Stable Diffusion by enabling precise control over character postures. An introduction to its basic concepts for AI beginners.
Control Stable Diffusion outputs through language vectors. We explain the mechanism for beginners and compare it with LoRA for better image control.
Learn how LoRA adds small layers to large models to achieve high performance while reducing computational costs. A brief introduction to the method.
