Some drafts of miscellaneous codes.
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Updated
Jun 2, 2014 - MATLAB
Some drafts of miscellaneous codes.
3D particle diffusion animation.
A collection of SBM in PyTorch Lightning
Repository for the UW Voicelab project modeling the diffusion of chemicals into vocal fold tissue.
Neural Architecture Search (NAS) on a UNet neural network (SR3) to optimize for minimal FLOPs and inference latency; while working in a denoising diffusion generative framework (DDPM)
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Minimal standalone example of diffusion model
Original implementation of the Downsampled Diffusion Probablistic Models (dDDPM) in PyTorch, as part of my M.Sc. thesis on deep generative models.
Repository with Deep Learning implementations in Jupyter Notebooks
A basic tensorflow diffusion model trained to synthesize Simpsons' characters.
Simple diffusion implementation for binary-valued data using a Bernoulli distribution instead of a Gaussian.
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
R package with functions to improve research workflow https://hauselin.github.io/hausekeep/
Research code for paper "Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis"
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
A diffusion model trained to generate musical pieces using the MIDI format. It introduces a pitch encoding based on frequencies, a multi-instruments-oriented model and a lightweight music-adapted version of the U-Net.
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
[CVPR23] A cascaded diffusion captioning model with a novel semantic-conditional diffusion process that upgrades conventional diffusion model with additional semantic prior.
Conditional Generative Modelling of Single-cell Images
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