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ai4animation

Bringing Characters to Life with Computer Brains in Unity

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

bayesian-flow-networks

A simple implimentation of Bayesian Flow Networks

bayesian-flow-networks-animeface

AnimeFace dataset generation by BFNs

bayesian_flow_networks

A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).

cfc

Solution of neural ODEs

cs236605-tutorials

deep-generative-models-stanford-university-cs236

Course notes

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

diffusion_models

A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

dpm-solver

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

hardnoboxattack

humanml3d

HumanML3D: A large and diverse 3d human motion-language dataset.

motion-diffusion-model

The official PyTorch implementation of the paper "Human Motion Diffusion Model"

mrzzy2021.github.io

pml2-book

Probabilistic Machine Learning: Advanced Topics

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

sculpturerecon

styledmotionsynthesis

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022