mangalp's Stars
Janspiry/Palette-Image-to-Image-Diffusion-Models
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
GBATZOLIS/conditional_score_diffusion
PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models
voletiv/mcvd-pytorch
Official implementation of MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation (https://arxiv.org/abs/2205.09853)
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Janspiry/Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
LouisRouss/Diffusion-Based-Model-for-Colorization
Shen-Lab/DeepAffinity
Protein-compound affinity prediction through unified RNN-CNN
ugrulas/DivNoising
Diversity Denoising with Fully Convolutional Variational Autoencoders
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
luost26/3D-Generative-SBDD
💊 A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)
yuval-alaluf/hyperstyle
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
sthalles/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
bes-dev/MobileStyleGAN.pytorch
An official implementation of MobileStyleGAN in PyTorch
tianweiy/biggan-inversion
tpecot/DeepLearningBasedSegmentationForBiologists
3-day workshop to teach biologists how to train and process deep convolutional neural networks for image segmentation through a comprehensive image analysis pipeline for immune profiling of 2D multiplexed images
RoozbehSanaei/deep-learning-notebooks
A collection of colab notebooks for practice deep learning
mingukkang/CVAE
Tensorflow Code for Conditional Variational AutoEncoder
ry85/VAE-GAN
Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"
acids-ircam/pytorch_flows
Implementation and tutorials of normalizing flows with the novel distributions module
NVlabs/NVAE
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
konopczynski/Vessel3DDL
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images
IsaacGuan/3D-VAE
A variational autoencoder for volumetric shape generation
armaank/bVAE
Replicating Results from β-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
carpenterlab/unet4nuclei
U-net based segmentation of nuclei in microscopy images
perslev/MultiPlanarUNet
Multi-Planar UNet for autonomous segmentation of 3D medical images
laurahanu/2D-and-3D-Deep-Autoencoder
Convolutional AutoEncoder application on MRI images
L1aoXingyu/pytorch-beginner
pytorch tutorial for beginners
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
zhixuhao/unet
unet for image segmentation