generative-models
There are 399 repositories under generative-models topic.
XingangPan/DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
yunjey/stargan
StarGAN - Official PyTorch Implementation (CVPR 2018)
hwalsuklee/tensorflow-generative-model-collections
Collection of generative models in Tensorflow
clovaai/stargan-v2
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
thu-ml/zhusuan
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
yang-song/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
hyp1231/awesome-llm-powered-agent
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
GMvandeVen/continual-learning
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.
amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
yang-song/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
photosynthesis-team/piq
Measures and metrics for image2image tasks. PyTorch.
dailenson/SDT
This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)
llm-jp/awesome-japanese-llm
日本語LLMまとめ - Overview of Japanese LLMs
auspicious3000/autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
torrinworx/Blend_My_NFTs
Easily generate thousands of 3D models, images, and animation automatically in Blender for free with Blend_My_NFTs.
hollobit/GenAI_LLM_timeline
ChatGPT, GenerativeAI and LLMs Timeline
ritheshkumar95/pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
molecularsets/moses
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
sangwoomo/instagan
InstaGAN: Instance-aware Image Translation (ICLR 2019)
rksm/org-ai
Emacs as your personal AI assistant. Use LLMs such as ChatGPT or LLaMA for text generation or DALL-E and Stable Diffusion for image generation. Also supports speech input / output.
wohlert/semi-supervised-pytorch
Implementations of various VAE-based semi-supervised and generative models in PyTorch
ermongroup/ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
MyNiuuu/MOFA-Video
[ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.
EndlessSora/focal-frequency-loss
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Project-MONAI/GenerativeModels
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
mikonvergence/DiffusionFastForward
DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
kwotsin/mimicry
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
ChenWu98/cycle-diffusion
[ICCV 2023] A latent space for stochastic diffusion models
ohayonguy/PMRF
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
SimonKohl/probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
shayneobrien/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
ankanbhunia/PIDM
Person Image Synthesis via Denoising Diffusion Model (CVPR 2023)
Schlumberger/joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
vlgiitr/DL_Topics
List of DL topics and resources essential for cracking interviews
EugenHotaj/pytorch-generative
Easy generative modeling in PyTorch
diffusion-classifier/diffusion-classifier
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training