Official Code for DragGAN (SIGGRAPH 2023)
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Updated
May 18, 2024 - Python
Official Code for DragGAN (SIGGRAPH 2023)
StarGAN - Official PyTorch Implementation (CVPR 2018)
Collection of generative models in Tensorflow
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Easily generate thousands of 3D models, images, and animation automatically in Blender for free with Blend_My_NFTs.
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
InstaGAN: Instance-aware Image Translation (ICLR 2019)
Vector Quantized VAEs - PyTorch Implementation
A collection of Deep Learning projects and resources
Implementations of various VAE-based semi-supervised and generative models in PyTorch
Seminal agent-based models developed using Mesa
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Measures and metrics for image2image tasks. PyTorch.
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Noise Conditional Score Networks (NeurIPS 2019, Oral)
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