moabarar's Stars
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
google-research/scenic
Scenic: A Jax Library for Computer Vision Research and Beyond
neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs
google-research/big_vision
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
DmitryUlyanov/Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
DirtyHarryLYL/Transformer-in-Vision
Recent Transformer-based CV and related works.
rinongal/StyleGAN-nada
danielroich/PTI
Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744
omriav/blended-latent-diffusion
Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
omriav/blended-diffusion
Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
taesungp/swapping-autoencoder-pytorch
Official Implementation of Swapping Autoencoder for Deep Image Manipulation (NeurIPS 2020)
google-research/maskgit
Official Jax Implementation of MaskGIT
Azure/azure-signalr
Azure SignalR Service SDK for .NET
sefibk/KernelGAN
SinMDM/SinMDM
Single Motion Diffusion Model
matthias-wright/flaxmodels
Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
google-research/nested-transformer
Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf
google-deepmind/tf2jax
ermongroup/NDA
matthias-wright/jax-fid
FID computation in Jax/Flax.
HilalAsi/APROX-Robust-Stochastic-Optimization-Algorithms