hunto

hunto's Stars

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

  Language:Python26.9k2114.4k5.5k

• apple/ml-stable-diffusion

  Stable Diffusion with Core ML on Apple Silicon

  Language:Python17k143254958

• OpenGVLab/LLaMA-Adapter

  [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

  Language:Python5.8k79142377

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.7k13030490

• facebookresearch/deit

  Official DeiT repository

  Language:Python4.1k47197561

• huggingface/swift-coreml-diffusers

  Swift app demonstrating Core ML Stable Diffusion

  Language:Swift2.6k4165223

• google-research/big_vision

  Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

  Language:Jupyter Notebook2.5k3961164

• VainF/Awesome-Anything

  General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

  1.7k54196

• RayeRen/acad-homepage.github.io

  AcadHomepage: A Modern and Responsive Academic Personal Homepage

  Language:SCSS1.6k3373.1k

• HuangJunJie2017/BEVDet

  Code base of the BEVDet series .

  Language:Python1.5k35363267

• chaytonmin/Awesome-BEV-Perception-Multi-Cameras

  Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD

  1k527109

• YoungXIAO13/ObjectPoseEstimationSummary

  Resources (papers, datasets, rendering methods) in the domain of object pose estimation.

  Language:Python72828688

• NVlabs/denoising-diffusion-gan

  Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

  Language:Python716324078

• 4DVLab/Vision-Centric-BEV-Perception

  Vision-Centric BEV Perception: A Survey

  68331169

• raoyongming/DynamicViT

  [NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

  Language:Jupyter Notebook583104573

• ViTAE-Transformer/ViTDet

  Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"

  Language:Python54242746

• Nota-NetsPresso/BK-SDM

  A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]

  Language:Python270114217

• automl/awesome-transformer-search

  A curated list of awesome resources combining Transformers with Neural Architecture Search

  2629228

• winycg/CIRKD

  [CVPR-2022] Official implementations of CIRKD: Cross-Image Relational Knowledge Distillation for Semantic Segmentation and implementations on Cityscapes, ADE20K, COCO-Stuff., Pascal VOC and CamVid.

  Language:Python18442826

• LayneH/GreenMIM

  [NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.

  Language:Python1723126

• hunto/DIST_KD

  Official implementation of paper "Knowledge Distillation from A Stronger Teacher", NeurIPS 2022

  Language:Python14021220

• hunto/LightViT

  Official implementation for paper "LightViT: Towards Light-Weight Convolution-Free Vision Transformers"

  Language:Python1372710

• jd-opensource/TeD-Q

  TeD-Q (Tensor-network enhanced Distributed Quantum) is a tensor network enhanced distributed hybrid quantum machine learning framework.

  Language:Python94244

• mingkai-zheng/GENIUS

  Can GPT-4 Perform Neural Architecture Search?

  Language:Python83426

• hunto/DiffKD

  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023

  797117

• hunto/MasKD

  Official implementation of paper "Masked Distillation with Receptive Tokens", ICLR 2023.

  Language:Python67175

• LayneH/LEWEL

  [CVPR2022] Official Implementation of the paper 'Learning Where to Learn in Cross-View Self-Supervised Learning'

  Language:Python26243

• Gumpest/AvatarKD

  [MM'22] Official implementation of paper "Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty".

  Language:Python12313

• mingkai-zheng/CoNe

  Language:Python8101

• xiusu/BCNetV2

  Language:Python8101