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score-based-models

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A comprehensive collection of implementations for Deep Generative Models, including VAEs, Normalizing Flows, CycleGAN, EBMs, Score-Based Models, Diffusion (DDPM/DDIM), and Flow Matching. Features applications in Anomaly Detection, Disentanglement, Style Transfer, Subject-Driven Generation (DreamBooth), and Financial Time Series Synthesis.

  • Updated Feb 21, 2026
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🤖 Notes, assignments & projects for CS-844 Generative Deep Models — NUST CEME. Topics: Autoregressive Models, VAEs, GANs, Diffusion, Score-Based Models, LLMs & CLIP. Built with Python · PyTorch.

  • Updated Feb 25, 2026
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