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Diffusion Transformers (DiT)
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Flow Matching
SDE (Stochastic Differential Equations)
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About
GenAI Lab
pleiadian53/genai-lab
Home
Roadmap
Foundation Models
Foundation Models
Overview
Leveraging Foundation Models
Data Shape & Tensors
Implementation Guide
Diffusion Transformers (DiT)
Diffusion Transformers (DiT)
Series Overview
00: DiT Overview
01: Foundations
02: Training
03: Sampling
Research: Tokenization
JEPA (Joint Embedding)
JEPA (Joint Embedding)
Series Overview
00: JEPA Overview
01: Foundations
02: Training
03: Applications
04: Perturb-seq
Research: Joint Latent
Latent Diffusion
Latent Diffusion
Series Overview
00: Overview
01: Foundations
02: Training
03: Applications
04: ComBio Implementation
DDPM (Denoising Diffusion)
DDPM (Denoising Diffusion)
Overview
Architectures for Gene Expression
Architecture Q&A
VAE (Variational Autoencoders)
VAE (Variational Autoencoders)
01: Overview
02: ELBO
03: Inference
VAE for Prediction
Model Training
Beta-VAE
Score Matching & EBM
Score Matching & EBM
Score Matching
Energy-Based Models
Stein vs Fisher Score
Flow Matching
Flow Matching
Overview
SDE (Stochastic Differential Equations)
SDE (Stochastic Differential Equations)
Overview
Datasets
Datasets
Overview
Diffusion (Technical Deep Dives)
Diffusion (Technical Deep Dives)
DDPM Basics
DDPM Basics
Notebook
SDE Formulation
SDE Formulation
Overview
Notebook
Medical Imaging Diffusion
Medical Imaging Diffusion
Overview
Notebook
Gene Expression Diffusion
Gene Expression Diffusion
Overview
Notebook
Notebooks
Notebooks
Overview
About
About
Setup & Installation
Industry Landscape
VAE 06 optimization new
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