Googolxx's Stars
Dao-AILab/flash-attention
Fast and memory-efficient exact attention
bytedance/QRAF
ShoufaChen/DiffusionDet
[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
tinyvision/DAMO-YOLO
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
ermongroup/ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
InterDigitalInc/CompressAI-Vision
CompressAI-Vision helps you design, test and compare Video Compression for Machines pipelines. Compression methods can be either pulled from custom AI-based modules from CompressAI or traditional codecs such as H.266/VVC.
JTT94/diffusion_schrodinger_bridge
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
ermongroup/ddim
Denoising Diffusion Implicit Models
phizaz/diffae
Official implementation of Diffusion Autoencoders
nayuki/Reference-arithmetic-coding
Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.
ermongroup/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
openai/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
zhulf0804/PointPillars
A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
open-mmlab/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
dvlab-research/LargeKernel3D
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)
TianhaoFu/Awesome-3D-Object-Detection
Papers, code and datasets about deep learning for 3D Object Detection.
open-mmlab/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
tianweiy/CenterPoint
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Hub-Tian/Awesome-3D-Detectors
Paperlist of awesome 3D detection methods
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
zoubohao/DenoisingDiffusionProbabilityModel-ddpm-
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
angusturner/diffuse
PyTorch implementation of diffusion models.
rosinality/vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
nadavbh12/VQ-VAE
Minimalist implementation of VQ-VAE in Pytorch
hojonathanho/diffusion
Denoising Diffusion Probabilistic Models
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
google-research/vdm