[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

TensorLy: Tensor Learning in Python.

TorchCFM: a Conditional Flow Matching library

A repository for Qiskit Hackathon Korea (February 16-19, 2021)

Variational Quantum Circuit Simulator for Quantum Computation Research

Official code for Continuous-Time Functional Diffusion Processes (NeurIPS 2023).

Official codebase for "Score-based Diffusion Models in Function Space"

Created a classifier that can identify and classify 41 types of facial attributes, using an ImageNet pre-trained ResNext50 model provided by PyTorch and CelebA dataset. Multiple data augmentation t…

Using Low-rank adaptation to quickly fine-tune diffusion models.

Presentation at KCS 2023, "Quantum Denoising Diffusion Probabilistic Models for Image Generation"

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

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

Exploring QCNNs for Classifying Phases of Matter

Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

[ECCV 2022] Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling

Latex code for making neural networks diagrams

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

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

Unsupervised single image depth prediction with CNNs

Reference code for "Motion-supervised Co-Part Segmentation" paper

Quantum Hamiltonian-Based Models built on TensorFlow Quantum